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eDisGo Abschlussworkshop Tutorial
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| # This file is part of eDisGo, a python package for distribution grid | |
| # analysis and optimization. | |
| # | |
| # It is developed in the project open_eGo: https://openegoproject.wordpress.com | |
| # | |
| # eDisGo lives on github: https://github.com/openego/edisgo/ | |
| # The documentation is available on RTD: http://edisgo.readthedocs.io | |
| [grid_expansion_standard_equipment] | |
| # standard equipment | |
| # ================== | |
| # Standard equipment for grid expansion measures. Source: Rehtanz et. al.: "Verteilnetzstudie für das Land Baden-Württemberg", 2017. | |
| hv_mv_transformer = 40 MVA | |
| mv_lv_transformer = 630 kVA | |
| mv_line = NA2XS2Y 3x1x185 RM/25 | |
| lv_line = NAYY 4x1x150 | |
| [grid_expansion_allowed_voltage_deviations] | |
| # allowed voltage deviations | |
| # ========================== | |
| # COMBINED MV+LV | |
| # -------------- | |
| # hv_mv_trafo_offset: | |
| # offset which is set at HV-MV station | |
| # (pos. if op. voltage is increased, neg. if decreased) | |
| hv_mv_trafo_offset = 0.04 | |
| # hv_mv_trafo_control_deviation: | |
| # control deviation of HV-MV station | |
| # (always pos. in config; pos. or neg. usage depending on case in edisgo) | |
| hv_mv_trafo_control_deviation = 0.0 | |
| # mv_lv_max_v_deviation: | |
| # max. allowed voltage deviation according to DIN EN 50160 | |
| # caution: offset and control deviation at HV-MV station must be considered in calculations! | |
| mv_lv_feedin_case_max_v_deviation = 0.1 | |
| mv_lv_load_case_max_v_deviation = 0.1 | |
| # MV ONLY | |
| # ------- | |
| # mv_load_case_max_v_deviation: | |
| # max. allowed voltage deviation in MV grids (load case) | |
| mv_load_case_max_v_deviation = 0.065 | |
| # mv_feedin_case_max_v_deviation: | |
| # max. allowed voltage deviation in MV grids (feedin case) | |
| # according to BDEW | |
| mv_feedin_case_max_v_deviation = 0.02 | |
| # LV ONLY | |
| # ------- | |
| # max. allowed voltage deviation in LV grids (load case) | |
| lv_load_case_max_v_deviation = 0.065 | |
| # max. allowed voltage deviation in LV grids (feedin case) | |
| # according to VDE-AR-N 4105 | |
| lv_feedin_case_max_v_deviation = 0.03 | |
| # max. allowed voltage deviation in MV/LV stations (load case) | |
| mv_lv_station_load_case_max_v_deviation = 0.01 | |
| # max. allowed voltage deviation in MV/LV stations (feedin case) | |
| mv_lv_station_feedin_case_max_v_deviation = 0.01 | |
| [grid_expansion_load_factors] | |
| # load factors | |
| # ============ | |
| # Source: Rehtanz et. al.: "Verteilnetzstudie für das Land Baden-Württemberg", 2017. | |
| mv_load_case_transformer = 0.5 | |
| mv_load_case_line = 0.5 | |
| mv_feedin_case_transformer = 1.0 | |
| mv_feedin_case_line = 1.0 | |
| lv_load_case_transformer = 1.0 | |
| lv_load_case_line = 1.0 | |
| lv_feedin_case_transformer = 1.0 | |
| lv_feedin_case_line = 1.0 | |
| # costs | |
| # ============ | |
| [costs_cables] | |
| # costs in kEUR/km | |
| # costs for cables without earthwork are taken from [1] (costs for standard | |
| # cables are used here as representative since they have average costs), costs | |
| # including earthwork are taken from [2] | |
| # [1] https://www.bundesnetzagentur.de/SharedDocs/Downloads/DE/Sachgebiete/Energie/Unternehmen_Institutionen/Netzentgelte/Anreizregulierung/GA_AnalytischeKostenmodelle.pdf?__blob=publicationFile&v=1 | |
| # [2] https://shop.dena.de/fileadmin/denashop/media/Downloads_Dateien/esd/9100_dena-Verteilnetzstudie_Abschlussbericht.pdf | |
| # costs including earthwork costs depend on population density according to [2] | |
| # here "rural" corresponds to a population density of <= 500 people/km² | |
| # and "urban" corresponds to a population density of > 500 people/km² | |
| lv_cable = 9 | |
| lv_cable_incl_earthwork_rural = 60 | |
| lv_cable_incl_earthwork_urban = 100 | |
| mv_cable = 20 | |
| mv_cable_incl_earthwork_rural = 80 | |
| mv_cable_incl_earthwork_urban = 140 | |
| [costs_transformers] | |
| # costs in kEUR, source: DENA Verteilnetzstudie | |
| lv = 10 | |
| mv = 1000 |
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| 2011-05-01 00:00:00 | 0.0 | |
|---|---|---|
| 2011-05-01 01:00:00 | 0.0 | |
| 2011-05-01 02:00:00 | 0.0 | |
| 2011-05-01 03:00:00 | 0.0 | |
| 2011-05-01 04:00:00 | 0.0 | |
| 2011-05-01 05:00:00 | 0.0 | |
| 2011-05-01 06:00:00 | 0.0 | |
| 2011-05-01 07:00:00 | 0.0 | |
| 2011-05-01 08:00:00 | 0.0 | |
| 2011-05-01 09:00:00 | 2300.0 | |
| 2011-05-01 10:00:00 | 2300.0 | |
| 2011-05-01 11:00:00 | 3000.0 | |
| 2011-05-01 12:00:00 | 3600.0 | |
| 2011-05-01 13:00:00 | 4000.0 | |
| 2011-05-01 14:00:00 | 3300.0 | |
| 2011-05-01 15:00:00 | 3300.0 | |
| 2011-05-01 16:00:00 | 1000.0 | |
| 2011-05-01 17:00:00 | 0.0 | |
| 2011-05-01 18:00:00 | 0.0 | |
| 2011-05-01 19:00:00 | 0.0 | |
| 2011-05-01 20:00:00 | 0.0 | |
| 2011-05-01 21:00:00 | 0.0 | |
| 2011-05-01 22:00:00 | 0.0 | |
| 2011-05-01 23:00:00 | 0.0 |
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "__copyright__ = \"Reiner Lemoine Institut gGmbH\"\n", | |
| "__license__ = \"GNU Affero General Public License Version 3 (AGPL-3.0)\"\n", | |
| "__url__ = \"https://github.com/openego/eDisGo/blob/master/LICENSE\"\n", | |
| "__author__ = \"gplssm, birgits\"" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "\n", | |
| "## <center> Abschulssworkshop open_eGo 30. Oktober 2018</center>\n", | |
| "\n", | |
| "<img src=\"https://edisgo.readthedocs.io/en/dev/_images/edisgo_logo.png\" alt=\"eDisGo\" height=\"200\" width=\"200\" align=\"center\" > \n", | |
| "### <center> Ein Open Source Tool zur Bestimmung des Netzausbaubedarfs in Mittel- und Niederspannungsnetzen unter Berücksichtigung von Flexibilitätsoptionen</center>\n", | |
| "\n", | |
| "****\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "### Wichtige Links\n", | |
| "\n", | |
| "* __[eDisGo Source Code](https://github.com/openego/eDisGo)__\n", | |
| "* __[eDisGo Dokumentation](http://edisgo.readthedocs.io)__\n", | |
| "\n", | |
| "\n", | |
| "\n", | |
| "### Installation\n", | |
| "\n", | |
| "Zur Verwendung dieses Notebooks wird die aktuelle eDisGo Version sowie das python package jupyter benötigt. Installiere diese mit\n", | |
| "\n", | |
| "```python\n", | |
| "pip install eDisGo\n", | |
| "pip install jupyter\n", | |
| "```\n", | |
| "\n", | |
| "Zur Darstellung der MS-Netze auf einer Karte kann optional das python package contextily installiert werden (möglicherweise benötigt contextily einige Systemanwendungen, die zusätzlich installiert werden müssen):\n", | |
| "\n", | |
| "```python\n", | |
| "pip install contextily\n", | |
| "```\n", | |
| "\n", | |
| "### Inhalt\n", | |
| "\n", | |
| "* [Einstieg](#einstieg)\n", | |
| " * [ding0 Netz erstellen](#ding0_netz)\n", | |
| " * [eDisGo API](#api)\n", | |
| " * [Lastflussberechnung](#lastfluss)\n", | |
| "* [Anwendungsfall konventioneller Netzausbau](#netzausbau)\n", | |
| "* [Anwendungsfall Leistungssteuerung](#abregelung)\n", | |
| "* [Anwendungsfall Netzebenen-übergreifende Netzplanung](#gesamt)\n", | |
| "* [Quellen](#quellen)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Einstieg <a class=\"anchor\" id=\"einstieg\"></a>\n", | |
| "\n", | |
| "### ding0 Netz erstellen <a class=\"anchor\" id=\"ding0_netz\"></a>\n", | |
| "\n", | |
| "Für die Verwendung von eDisGo werden **Netztopologiedaten** benötigt. Die derzeit einzige unterstützte Quelle hierfür sind **[ding0](https://github.com/openego/ding0) Netze** (=> weiteres in der ding0 Session). Diese können entweder von [zenodo](https://zenodo.org/record/890479) heruntergeladen oder selbst erstellt werden. Im Folgenden wird kurz gezeigt, wie ein ding0 Netz erstellt werden kann. Dieses soll im Folgenden für alle Anwendungsfälle als Beispielnetz dienen. Voraussetzung für die Verwendung von ding0 ist ein Nutzerkonto auf der [OpenEnergy Platform (OEP)](https://openenergy-platform.org/) (=> weiteres dazu in der OEP Session)." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "/home/birgit/virtualenvs/edisgo_release/lib/python3.6/site-packages/psycopg2/__init__.py:144: UserWarning: The psycopg2 wheel package will be renamed from release 2.8; in order to keep installing from binary please use \"pip install psycopg2-binary\" instead. For details see: <http://initd.org/psycopg/docs/install.html#binary-install-from-pypi>.\n", | |
| " \"\"\")\n", | |
| "/home/birgit/virtualenvs/edisgo_release/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88\n", | |
| " return f(*args, **kwds)\n", | |
| "/home/birgit/virtualenvs/edisgo_release/lib/python3.6/site-packages/sqlalchemy/ext/declarative/base.py:338: SAWarning: Ignoring declarative-like tuple value of attribute segment: possibly a copy-and-paste error with a comma left at the end of the line?\n", | |
| " \"left at the end of the line?\" % k)\n", | |
| "/home/birgit/virtualenvs/edisgo_release/lib/python3.6/site-packages/sqlalchemy/ext/declarative/base.py:338: SAWarning: Ignoring declarative-like tuple value of attribute cable: possibly a copy-and-paste error with a comma left at the end of the line?\n", | |
| " \"left at the end of the line?\" % k)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# imports zur Erstellung eines ding0 Netzes\n", | |
| "from egoio.tools import db\n", | |
| "from sqlalchemy.orm import sessionmaker\n", | |
| "from ding0.core import NetworkDing0\n", | |
| "from ding0.tools.results import save_nd_to_pickle" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "# wähle zu erstellendes Mittelspannungsnetz durch Angabe der Netz-Regions ID\n", | |
| "mv_grid_districts = [460]\n", | |
| "ding0_grid = 'ding0_grid_example.pkl'" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "INFO:ding0:=====> MV Grid Districts imported\n", | |
| "WARNING:ding0:Generator generator_run_of_river_hydro_mvgd460_863757 has no la_id and was assigned to a random LV Grid District (lv_grid_district_402809).\n", | |
| "WARNING:ding0:Generator generator_run_of_river_hydro_mvgd460_873919 has no la_id and was assigned to a random LV Grid District (lv_grid_district_133650).\n", | |
| "WARNING:ding0:Generator generator_run_of_river_hydro_mvgd460_874864 has no la_id and was assigned to a random LV Grid District (lv_grid_district_133447).\n", | |
| "WARNING:ding0:Generator generator_run_of_river_hydro_mvgd460_874866 has no la_id and was assigned to a random LV Grid District (lv_grid_district_135392).\n", | |
| "INFO:ding0:=====> Generators imported\n", | |
| "INFO:ding0:=====> MV Grids parametrized\n", | |
| "WARNING:ding0:\n", | |
| "INFO:ding0:=====> MV Grids validated\n", | |
| "INFO:ding0:lv_grid_district_399941 has got no residential load. No grid is created.\n", | |
| "INFO:ding0:lv_grid_district_403155 has got no residential load. No grid is created.\n", | |
| "INFO:ding0:lv_load_area_85334 is of type aggregated. No grid is created.\n", | |
| "INFO:ding0:lv_grid_district_133192 has got no residential load. No grid is created.\n", | |
| "INFO:ding0:lv_grid_district_401632 has got no residential load. No grid is created.\n", | |
| "INFO:ding0:lv_grid_district_135931 has got no residential load. No grid is created.\n", | |
| "INFO:ding0:lv_grid_district_399236 has got no residential load. No grid is created.\n", | |
| "INFO:ding0:=====> LV model grids created\n", | |
| "INFO:ding0:==> MV Routing for mv_grid_460 done\n", | |
| "INFO:ding0:==> MV Sat1 for mv_grid_460 done\n", | |
| "INFO:ding0:==> MV Sat2 for mv_grid_460 done\n", | |
| "INFO:ding0:==> MV Stations for mv_grid_460 done\n", | |
| "INFO:ding0:=====> MV Routing (Routing, Connection of Satellites & Stations) performed\n", | |
| "WARNING:ding0:No valid conn. target found for generator_solar_solar_roof_mounted_mvgd460_863811.Connected to lv_station_127332.\n", | |
| "WARNING:ding0:No valid conn. target found for generator_solar_solar_roof_mounted_mvgd460_873960.Connected to lv_station_127333.\n", | |
| "WARNING:ding0:No valid conn. target found for generator_solar_solar_roof_mounted_mvgd460_863828.Connected to lv_station_399941.\n", | |
| "WARNING:ding0:No valid conn. target found for generator_solar_solar_roof_mounted_mvgd460_873938.Connected to lv_station_131998.\n", | |
| "INFO:ding0:lv_load_area_85334 is of type aggregated. LV generators are not connected to LV grids.\n", | |
| "WARNING:ding0:No valid conn. target found for generator_solar_solar_roof_mounted_mvgd460_874882.Connected to lv_station_133651.\n", | |
| "WARNING:ding0:No valid conn. target found for generator_solar_solar_roof_mounted_mvgd460_874118.Connected to lv_station_401632.\n", | |
| "WARNING:ding0:No valid conn. target found for generator_solar_solar_roof_mounted_mvgd460_874931.Connected to lv_station_401632.\n", | |
| "WARNING:ding0:No valid conn. target found for generator_solar_solar_roof_mounted_mvgd460_872487.Connected to lv_station_134178.\n", | |
| "WARNING:ding0:No valid conn. target found for generator_solar_solar_roof_mounted_mvgd460_872432.Connected to lv_station_134810.\n", | |
| "WARNING:ding0:No valid conn. target found for generator_solar_solar_roof_mounted_mvgd460_875093.Connected to lv_station_134951.\n", | |
| "WARNING:ding0:No valid conn. target found for generator_solar_solar_roof_mounted_mvgd460_863834.Connected to lv_station_135389.\n", | |
| "WARNING:ding0:No valid conn. target found for generator_solar_solar_roof_mounted_mvgd460_875079.Connected to lv_station_135390.\n", | |
| "WARNING:ding0:No valid conn. target found for generator_solar_solar_roof_mounted_mvgd460_872445.Connected to lv_station_135391.\n", | |
| "WARNING:ding0:No valid conn. target found for generator_solar_solar_roof_mounted_mvgd460_873961.Connected to lv_station_136168.\n", | |
| "INFO:ding0:=====> Generators connected\n", | |
| "INFO:ding0:=====> Branch IDs set\n", | |
| "INFO:ding0:=====> MV Circuit Breakers relocated\n", | |
| "INFO:ding0:=====> MV Circuit Breakers opened\n", | |
| "INFO:ding0:Only MV side bus of MVStation will be added.\n", | |
| "WARNING:ding0:Node lv_station_132213 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132188 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_496358 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132189 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132191 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132190 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132192 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132194 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132193 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132198 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132197 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132196 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132195 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_496362 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132199 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132202 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132201 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132205 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132200 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132204 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132208 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132207 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132203 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132206 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132209 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132210 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132212 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132220 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132211 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132214 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132215 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132219 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132216 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132217 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132218 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n" | |
| ] | |
| }, | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "WARNING:ding0:Node lv_station_132221 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132222 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132223 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132227 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132224 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132225 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132226 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132228 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132229 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node circuit_breaker_1 is not connected to the graph and will be omitted in power flow analysis. \n", | |
| "WARNING:ding0:Node circuit_breaker_2 is not connected to the graph and will be omitted in power flow analysis. \n", | |
| "WARNING:ding0:Node circuit_breaker_3 is not connected to the graph and will be omitted in power flow analysis. \n", | |
| "WARNING:ding0:Node circuit_breaker_4 is not connected to the graph and will be omitted in power flow analysis. \n", | |
| "INFO:pypsa.pf:Slack bus for sub-network 0 is HV_460_trd\n", | |
| "INFO:pypsa.pf:Performing non-linear load-flow on AC sub-network SubNetwork 0 for snapshots DatetimeIndex(['1970-01-01 00:00:00', '1970-01-01 01:00:00'], dtype='datetime64[ns]', freq='H')\n", | |
| "INFO:pypsa.pf:Newton-Raphson solved in 3 iterations with error of 0.000000 in 0.034455 seconds\n", | |
| "INFO:pypsa.pf:Newton-Raphson solved in 3 iterations with error of 0.000000 in 0.039170 seconds\n", | |
| "INFO:ding0:==> 71 nodes have voltage issues.\n", | |
| "INFO:ding0:==> 71 branches were reinforced.\n", | |
| "INFO:ding0:Only MV side bus of MVStation will be added.\n", | |
| "WARNING:ding0:Node lv_station_132213 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132188 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_496358 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132189 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132191 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132190 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132192 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132194 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132193 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132198 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132197 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132196 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132195 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_496362 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132199 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132202 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132201 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132205 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132200 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132204 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132208 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132207 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132203 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132206 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132209 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132210 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132212 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132220 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132211 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132214 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132215 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132219 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132216 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132217 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132218 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132221 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132222 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132223 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132227 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132224 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132225 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132226 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132228 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132229 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node circuit_breaker_1 is not connected to the graph and will be omitted in power flow analysis. \n", | |
| "WARNING:ding0:Node circuit_breaker_2 is not connected to the graph and will be omitted in power flow analysis. \n", | |
| "WARNING:ding0:Node circuit_breaker_3 is not connected to the graph and will be omitted in power flow analysis. \n", | |
| "WARNING:ding0:Node circuit_breaker_4 is not connected to the graph and will be omitted in power flow analysis. \n" | |
| ] | |
| }, | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "INFO:pypsa.pf:Slack bus for sub-network 0 is HV_460_trd\n", | |
| "INFO:pypsa.pf:Performing non-linear load-flow on AC sub-network SubNetwork 0 for snapshots DatetimeIndex(['1970-01-01 00:00:00', '1970-01-01 01:00:00'], dtype='datetime64[ns]', freq='H')\n", | |
| "INFO:pypsa.pf:Newton-Raphson solved in 3 iterations with error of 0.000000 in 0.033595 seconds\n", | |
| "INFO:pypsa.pf:Newton-Raphson solved in 3 iterations with error of 0.000000 in 0.037006 seconds\n", | |
| "INFO:ding0:==> 67 nodes have voltage issues.\n", | |
| "INFO:ding0:==> 70 branches were reinforced.\n", | |
| "INFO:ding0:Only MV side bus of MVStation will be added.\n", | |
| "WARNING:ding0:Node lv_station_132213 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132188 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_496358 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132189 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132191 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132190 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132192 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132194 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132193 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132198 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132197 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132196 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132195 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_496362 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132199 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132202 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132201 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132205 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132200 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132204 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132208 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132207 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132203 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132206 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132209 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132210 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132212 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132220 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132211 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132214 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132215 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132219 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132216 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132217 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132218 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132221 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132222 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132223 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132227 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132224 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132225 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132226 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132228 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132229 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node circuit_breaker_1 is not connected to the graph and will be omitted in power flow analysis. \n", | |
| "WARNING:ding0:Node circuit_breaker_2 is not connected to the graph and will be omitted in power flow analysis. \n", | |
| "WARNING:ding0:Node circuit_breaker_3 is not connected to the graph and will be omitted in power flow analysis. \n", | |
| "WARNING:ding0:Node circuit_breaker_4 is not connected to the graph and will be omitted in power flow analysis. \n", | |
| "INFO:pypsa.pf:Slack bus for sub-network 0 is HV_460_trd\n", | |
| "INFO:pypsa.pf:Performing non-linear load-flow on AC sub-network SubNetwork 0 for snapshots DatetimeIndex(['1970-01-01 00:00:00', '1970-01-01 01:00:00'], dtype='datetime64[ns]', freq='H')\n", | |
| "INFO:pypsa.pf:Newton-Raphson solved in 3 iterations with error of 0.000000 in 0.031970 seconds\n", | |
| "INFO:pypsa.pf:Newton-Raphson solved in 3 iterations with error of 0.000000 in 0.039030 seconds\n", | |
| "INFO:ding0:==> 42 nodes have voltage issues.\n", | |
| "INFO:ding0:==> 61 branches were reinforced.\n", | |
| "INFO:ding0:Only MV side bus of MVStation will be added.\n", | |
| "WARNING:ding0:Node lv_station_132213 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132188 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_496358 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132189 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132191 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132190 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132192 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132194 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n" | |
| ] | |
| }, | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "WARNING:ding0:Node lv_station_132193 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132198 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132197 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132196 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132195 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_496362 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132199 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132202 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132201 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132205 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132200 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132204 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132208 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132207 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132203 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132206 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132209 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132210 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132212 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132220 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132211 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132214 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132215 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132219 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132216 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132217 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132218 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132221 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132222 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132223 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132227 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132224 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132225 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132226 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132228 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node lv_station_132229 is not connected to the graph and will be omitted in power flow analysis. LA is aggr. True\n", | |
| "WARNING:ding0:Node circuit_breaker_1 is not connected to the graph and will be omitted in power flow analysis. \n", | |
| "WARNING:ding0:Node circuit_breaker_2 is not connected to the graph and will be omitted in power flow analysis. \n", | |
| "WARNING:ding0:Node circuit_breaker_3 is not connected to the graph and will be omitted in power flow analysis. \n", | |
| "WARNING:ding0:Node circuit_breaker_4 is not connected to the graph and will be omitted in power flow analysis. \n", | |
| "INFO:pypsa.pf:Slack bus for sub-network 0 is HV_460_trd\n", | |
| "INFO:pypsa.pf:Performing non-linear load-flow on AC sub-network SubNetwork 0 for snapshots DatetimeIndex(['1970-01-01 00:00:00', '1970-01-01 01:00:00'], dtype='datetime64[ns]', freq='H')\n", | |
| "INFO:pypsa.pf:Newton-Raphson solved in 3 iterations with error of 0.000000 in 0.031785 seconds\n", | |
| "INFO:pypsa.pf:Newton-Raphson solved in 3 iterations with error of 0.000000 in 0.039320 seconds\n", | |
| "INFO:ding0:==> All voltage issues in MV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_179885\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:4 in lv_grid_179885 have voltage issues\n", | |
| "INFO:ding0:==> 25 branches were reinforced.\n", | |
| "INFO:ding0:==> 17 branches were reinforced.\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_179886\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_179886 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_127329\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_127329 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_127330\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_127330 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_127331\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_127331 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_127332\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:16 in lv_grid_127332 have voltage issues\n", | |
| "INFO:ding0:==> 41 branches were reinforced.\n", | |
| "INFO:ding0:==> 38 branches were reinforced.\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_127333\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_127333 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_402231\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_402231 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n" | |
| ] | |
| }, | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_402819\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_402819 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_399941\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_399941 have voltage issues\n", | |
| "INFO:ding0:==> 2 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 2 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_399742\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_399742 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_400196\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_400196 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_402115\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_402115 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_402945\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_402945 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131197\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_131197 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131198\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_131198 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131199\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_131199 have voltage issues\n", | |
| "INFO:ding0:==> 3 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 3 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131205\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_131205 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131206\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_131206 have voltage issues\n", | |
| "INFO:ding0:==> 16 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 16 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131444\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_131444 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131520\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_131520 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131521\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_131521 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131522\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_131522 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131523\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_131523 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131524\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_131524 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131525\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:6 in lv_grid_131525 have voltage issues\n", | |
| "INFO:ding0:==> 6 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 6 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131542\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_131542 have voltage issues\n", | |
| "INFO:ding0:==> 36 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 36 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131543\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_131543 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131544\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_131544 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131551\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_131551 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131552\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_131552 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131553\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_131553 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131572\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:18 in lv_grid_131572 have voltage issues\n", | |
| "INFO:ding0:==> 31 branches were reinforced.\n", | |
| "INFO:ding0:==> 27 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 27 branches that cannot be reinforced (no appropriate cable available).\n" | |
| ] | |
| }, | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131573\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_131573 have voltage issues\n", | |
| "INFO:ding0:==> 3 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 3 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_403155\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_403155 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131997\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_131997 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_131998\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_131998 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_513211\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_513211 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_402809\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_402809 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_401639\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_401639 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_403015\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_403015 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_403047\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_403047 have voltage issues\n", | |
| "WARNING:ding0:Branch branch_4030470000001 could not be reinforced (voltage issues) as there is no appropriate cable type available. Original type is retained.\n", | |
| "WARNING:ding0:Branch branch_4030470000002 could not be reinforced (voltage issues) as there is no appropriate cable type available. Original type is retained.\n", | |
| "WARNING:ding0:==> There are 2 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_132686\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_132686 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_132687\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_132687 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_133183\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:4 in lv_grid_133183 have voltage issues\n", | |
| "INFO:ding0:==> 4 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 4 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_133184\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_133184 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_133192\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_133192 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_133447\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_133447 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_133448\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_133448 have voltage issues\n", | |
| "INFO:ding0:==> 2 branches were reinforced.\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_133449\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_133449 have voltage issues\n", | |
| "INFO:ding0:==> 34 branches were reinforced.\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_133450\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_133450 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_133451\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_133451 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_133452\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_133452 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_133453\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:6 in lv_grid_133453 have voltage issues\n", | |
| "INFO:ding0:==> 29 branches were reinforced.\n", | |
| "INFO:ding0:==> 26 branches were reinforced.\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_133454\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_133454 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_133455\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_133455 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_513239\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_513239 have voltage issues\n", | |
| "INFO:ding0:==> 2 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 2 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_133650\n" | |
| ] | |
| }, | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_133650 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_133651\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_133651 have voltage issues\n", | |
| "INFO:ding0:==> 16 branches were reinforced.\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_133652\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_133652 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_133653\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:4 in lv_grid_133653 have voltage issues\n", | |
| "INFO:ding0:==> 30 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 30 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_133654\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_133654 have voltage issues\n", | |
| "INFO:ding0:==> 24 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 24 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_400542\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_400542 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_401632\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:4 in lv_grid_401632 have voltage issues\n", | |
| "INFO:ding0:==> 4 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 4 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134176\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_134176 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134177\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_134177 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134178\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:10 in lv_grid_134178 have voltage issues\n", | |
| "INFO:ding0:==> 38 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 38 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134200\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_134200 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134201\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_134201 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134202\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_134202 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134203\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_134203 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_402684\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_402684 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_399140\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_399140 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134676\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:8 in lv_grid_134676 have voltage issues\n", | |
| "WARNING:ding0:Branch branch_1346760000024 could not be reinforced (voltage issues) as there is no appropriate cable type available. Original type is retained.\n", | |
| "WARNING:ding0:Branch branch_1346760000058 could not be reinforced (voltage issues) as there is no appropriate cable type available. Original type is retained.\n", | |
| "WARNING:ding0:Branch branch_1346760000059 could not be reinforced (voltage issues) as there is no appropriate cable type available. Original type is retained.\n", | |
| "WARNING:ding0:Branch branch_1346760000110 could not be reinforced (voltage issues) as there is no appropriate cable type available. Original type is retained.\n", | |
| "WARNING:ding0:Branch branch_1346760000109 could not be reinforced (voltage issues) as there is no appropriate cable type available. Original type is retained.\n", | |
| "WARNING:ding0:Branch branch_1346760000092 could not be reinforced (voltage issues) as there is no appropriate cable type available. Original type is retained.\n", | |
| "WARNING:ding0:Branch branch_1346760000025 could not be reinforced (voltage issues) as there is no appropriate cable type available. Original type is retained.\n", | |
| "WARNING:ding0:Branch branch_1346760000091 could not be reinforced (voltage issues) as there is no appropriate cable type available. Original type is retained.\n", | |
| "WARNING:ding0:==> There are 8 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134677\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_134677 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134678\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_134678 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134679\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_134679 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134806\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_134806 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134807\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n" | |
| ] | |
| }, | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "INFO:ding0:0 in lv_grid_134807 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134808\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:4 in lv_grid_134808 have voltage issues\n", | |
| "INFO:ding0:==> 35 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 35 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134809\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_134809 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134810\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_134810 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134886\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_134886 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134887\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_134887 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134950\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_134950 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_134951\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_134951 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135132\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135132 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135133\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135133 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_515408\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_515408 have voltage issues\n", | |
| "INFO:ding0:==> 2 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 2 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_403167\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_403167 have voltage issues\n", | |
| "INFO:ding0:==> 2 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 2 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135154\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135154 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_490063\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_490063 have voltage issues\n", | |
| "INFO:ding0:==> 2 branches were reinforced.\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_490064\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_490064 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_403347\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_403347 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135155\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135155 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135232\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135232 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_399442\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_399442 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135369\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135369 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135370\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135370 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135381\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135381 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135382\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135382 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135383\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135383 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135384\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_135384 have voltage issues\n", | |
| "INFO:ding0:==> 17 branches were reinforced.\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135385\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135385 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n" | |
| ] | |
| }, | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135386\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135386 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135387\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135387 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135388\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_135388 have voltage issues\n", | |
| "INFO:ding0:==> 60 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 60 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135389\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135389 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135390\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135390 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135391\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135391 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135392\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135392 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135393\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135393 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135394\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:4 in lv_grid_135394 have voltage issues\n", | |
| "INFO:ding0:==> 4 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 4 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135395\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135395 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135396\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_135396 have voltage issues\n", | |
| "INFO:ding0:==> 2 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 2 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135397\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135397 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135398\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135398 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135399\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135399 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135400\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135400 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135401\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135401 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135402\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135402 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135403\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_135403 have voltage issues\n", | |
| "INFO:ding0:==> 32 branches were reinforced.\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135404\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135404 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135405\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135405 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_399421\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_399421 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_400214\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_400214 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135900\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135900 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135929\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135929 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135930\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_135930 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_135931\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n" | |
| ] | |
| }, | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "INFO:ding0:0 in lv_grid_135931 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_399236\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_399236 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_403085\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_403085 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_136166\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_136166 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_136167\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_136167 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_136168\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_136168 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_136208\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_136208 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_136209\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_136209 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_136210\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_136210 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_402676\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_402676 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_136615\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_136615 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_136616\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_136616 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_136617\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:2 in lv_grid_136617 have voltage issues\n", | |
| "INFO:ding0:==> 25 branches were reinforced.\n", | |
| "WARNING:ding0:==> There are 25 branches that cannot be reinforced (no appropriate cable available).\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_136618\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_136618 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_136619\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_136619 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:Out of 0 with overloading 0 remain with unresolved issues due to line overloading. LV grid: lv_grid_136620\n", | |
| "INFO:ding0:0 have been reinforced due to overloading issues.\n", | |
| "INFO:ding0:0 in lv_grid_136620 have voltage issues\n", | |
| "INFO:ding0:==> All voltage issues in LV grid could be solved using reinforcement.\n", | |
| "INFO:ding0:=====> MV Circuit Breakers closed\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "engine = db.connection(section='oedb')\n", | |
| "session = sessionmaker(bind=engine)()\n", | |
| "\n", | |
| "# instanziiere ding0 Network Objekt\n", | |
| "nd = NetworkDing0(name='network')\n", | |
| "\n", | |
| "# erstelle ding0 Netz\n", | |
| "nd.run_ding0(session=session,\n", | |
| " mv_grid_districts_no=mv_grid_districts)\n", | |
| "\n", | |
| "# exportiere das Netz als pickle Datei\n", | |
| "save_nd_to_pickle(nd, filename=ding0_grid)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### EDisGo API <a class=\"anchor\" id=\"api\"></a>\n", | |
| "\n", | |
| "Die **EDisGo Klasse** stellt die **top-level API** für den Import von Daten (Netztopologie, Zeitreihen, technische Parameter, etc.), die Durchführung von Lastflussberechnung, Netzausbau, Speicherintegration, etc., sowie die Erstellung von Plots dar (siehe [Klassendokumentation](http://edisgo.readthedocs.io/en/dev/api/edisgo.grid.html#edisgo.grid.network.EDisGo) für weitere Informationen).\n", | |
| "\n", | |
| "Der folgende Code importiert das soeben erstellte ding0 Netz und initialisiert eine worst-case Analyse (Starklast- und Rückspeisefall). Die Definition von Starklast- und Rückspeisefall ist in dem Konfigurationsfile ['config_timeseries.cfg'](https://edisgo.readthedocs.io/en/latest/configs.html#config-timeseries) hinterlegt und kann dort angepasst werden, was später noch gezeigt wird." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "from edisgo import EDisGo\n", | |
| "\n", | |
| "# instanziiere EDisGo API Objekt\n", | |
| "edisgo = EDisGo(ding0_grid='ding0_grid_example.pkl',\n", | |
| " worst_case_analysis='worst-case')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "**Was ist bei der Initialisierung passiert?**\n", | |
| "\n", | |
| "* Netztopologie wurde importiert\n", | |
| "* Lasten und Generatoren wurden Zeitreihen zugewiesen\n", | |
| "* (bei Angabe eines Szenarios wird der Kraftwerkspark geupdatet)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "**Netztopologie**\n", | |
| "\n", | |
| "Die Netztopologie ist als **separate, ungerichtete Graphen** für das MS-Netz und die darunterliegende NS-Netze abgebildet. (Die Graphen sind Unterklassen des **networkx.Graph** und um einige Funktionalitäten erweitert). Kabel und Leitungen werden als Kanten abgebildet, andere Komponenten wie Lasten, Generatoren, etc. als Knoten. Die Repräsentation als Graph erlaubt die Anwendung effizienter Graphenalgorithmen, z.B. für Plausibilitätschecks ob das Netz zusammenhängend ist oder mehrere Komponenten aufweist oder zur Bestimmung des kürzesten Pfades und der Pfadlänge zum Umspannwerk, sowie eines geeigneten Knotens zur Strangauftrennung bei der Behebung von Spannungsproblemen.\n", | |
| "\n", | |
| "```python\n", | |
| "# MS Netz\n", | |
| "edisgo.network.mv_grid\n", | |
| "# MS graph\n", | |
| "edisgo.network.mv_grid.graph\n", | |
| "# NS Netze\n", | |
| "edisgo.network.mv_grid.lv_grids\n", | |
| "```\n", | |
| "\n", | |
| "Zudem gibt es eine **PyPSA Repräsentation** des Netzes für die Nutzung der Lastflussberechnungssoftware PyPSA.\n", | |
| "\n", | |
| "```python\n", | |
| "edisgo.network.pypsa\n", | |
| "```" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Using matplotlib backend: TkAgg\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%matplotlib inline\n", | |
| "import matplotlib.pyplot as plt" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Visualisierung des MS Netzes:" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "/home/birgit/virtualenvs/edisgo_release/git_repos/eDisGo/edisgo/tools/plots.py:415: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", | |
| " pypsa_network.lines.bus1.isin(pypsa_plot.buses.index)]\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
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\n", | |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7f7f184b33c8>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "# plotte MS-Netz\n", | |
| "edisgo.plot_mv_grid_topology(technologies=True)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Bei den NS-Netzen handelt es sich um Referenznetze, welche nicht georeferenziert sind. Es können daher nur die Graphen der Netzes geplottet werden." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "/home/birgit/virtualenvs/edisgo_release/lib/python3.6/site-packages/networkx/drawing/nx_pylab.py:126: MatplotlibDeprecationWarning: pyplot.hold is deprecated.\n", | |
| " Future behavior will be consistent with the long-time default:\n", | |
| " plot commands add elements without first clearing the\n", | |
| " Axes and/or Figure.\n", | |
| " b = plt.ishold()\n", | |
| "/home/birgit/virtualenvs/edisgo_release/lib/python3.6/site-packages/networkx/drawing/nx_pylab.py:138: MatplotlibDeprecationWarning: pyplot.hold is deprecated.\n", | |
| " Future behavior will be consistent with the long-time default:\n", | |
| " plot commands add elements without first clearing the\n", | |
| " Axes and/or Figure.\n", | |
| " plt.hold(b)\n", | |
| "/home/birgit/virtualenvs/edisgo_release/lib/python3.6/site-packages/matplotlib/__init__.py:917: UserWarning: axes.hold is deprecated. Please remove it from your matplotlibrc and/or style files.\n", | |
| " warnings.warn(self.msg_depr_set % key)\n", | |
| "/home/birgit/virtualenvs/edisgo_release/lib/python3.6/site-packages/matplotlib/rcsetup.py:152: UserWarning: axes.hold is deprecated, will be removed in 3.0\n", | |
| " warnings.warn(\"axes.hold is deprecated, will be removed in 3.0\")\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7f7f180e52e8>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "import networkx as nx\n", | |
| "\n", | |
| "# wähle Graphen eines beliebigen Niederspannungsnetzes\n", | |
| "lv_graph = list(edisgo.network.mv_grid.lv_grids)[5].graph\n", | |
| "\n", | |
| "# zeichne den Graphen\n", | |
| "nx.draw(lv_graph)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "**Last- und Einspeisezeitreihen**\n", | |
| "\n", | |
| "Hier werden beispielhaft die Lastzeitreihe einer beliebigen Last in der MS sowie eines beliebigen Generators in der MS dargestellt. \n", | |
| "\n", | |
| "Zur Info: In eDisGo wird immer mit Zeitreihen gerechnet, weshalb bei der Erstellung des Last- und Einspeisefalls Zeitreihen mit einem Dummy-Zeitstempel erstellt werden. Die erste Stunde stellt den Einspeisefall dar, die zweite Stunde den Lastfall.\n", | |
| "\n", | |
| "Folgende Default-Werte werden für den Starklast- und Rückspeisefall genutzt:\n", | |
| "\n", | |
| "| Betriebsfälle | Rückspeisefall | Starklastfall |\n", | |
| "|--------------------|----------------|----------------|\n", | |
| "| Last (MS) | 15% | 100% |\n", | |
| "| Last (NS) | 10% | 100% |\n", | |
| "| PV | 85% | 0% |\n", | |
| "| andere Gen. | 100% | 0% |\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7f7f2e74bd68>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "fig, axes = plt.subplots(nrows=2, ncols=1, sharex=True)\n", | |
| "\n", | |
| "# plotte Lastzeitreihe einer Last im MS-Netz\n", | |
| "edisgo.network.mv_grid.loads[0].timeseries.p.plot(kind='bar', ax=axes[0], title='Load')\n", | |
| "\n", | |
| "# plotte Einspeisezeitreihe eines Generators im MS-Netz\n", | |
| "edisgo.network.mv_grid.generators[0].timeseries.p.plot(kind='bar', ax=axes[1], title='Generator')\n", | |
| "plt.xticks(rotation=0);" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### Lastflussberechnung <a class=\"anchor\" id=\"lastfluss\"></a>\n", | |
| "\n", | |
| "Nachdem das API Objekt instanziiert wurde, kann schon die erste Lastflussanalyse für die beiden Auslegungsfälle durchgeführt werden.\n", | |
| "\n", | |
| "Zur Erinnerung wie das API Objekt instanziiert wurde: \n", | |
| "\n", | |
| "\n", | |
| "```python\n", | |
| "edisgo = EDisGo(ding0_grid='ding0_grid_example.pkl',\n", | |
| " worst_case_analysis='worst-case')\n", | |
| "```" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "INFO:pypsa.pf:Slack bus for sub-network 0 is Bus_MVStation_460\n", | |
| "INFO:pypsa.pf:Performing non-linear load-flow on AC sub-network SubNetwork 0 for snapshots DatetimeIndex(['1970-01-01 00:00:00', '1970-01-01 01:00:00'], dtype='datetime64[ns]', freq='H')\n", | |
| "INFO:pypsa.pf:Newton-Raphson solved in 3 iterations with error of 0.000000 in 0.346884 seconds\n", | |
| "INFO:pypsa.pf:Newton-Raphson solved in 4 iterations with error of 0.000000 in 0.457950 seconds\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# nicht-linearer power flow\n", | |
| "edisgo.analyze()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Zur Veranschaulichung der Netzsituation können nun bspw. die Leitungsbelastung sowie die Spannungsabweichungen (Abweichung von 1 p.u.) im Mittelspannungsnetz visualisiert werden." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7f7f17b7def0>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "# plotte Leitungsbelastungen\n", | |
| "edisgo.plot_mv_line_loading()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x7f7f2dfc9c18>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| }, | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "ERROR:tornado.application:Exception in callback functools.partial(<function wrap.<locals>.null_wrapper at 0x7f7f18242488>)\n", | |
| "Traceback (most recent call last):\n", | |
| " File \"/home/birgit/virtualenvs/edisgo_release/lib/python3.6/site-packages/tornado/ioloop.py\", line 758, in _run_callback\n", | |
| " ret = callback()\n", | |
| " File \"/home/birgit/virtualenvs/edisgo_release/lib/python3.6/site-packages/tornado/stack_context.py\", line 300, in null_wrapper\n", | |
| " return fn(*args, **kwargs)\n", | |
| " File \"/home/birgit/virtualenvs/edisgo_release/lib/python3.6/site-packages/ipykernel/kernelbase.py\", line 306, in advance_eventloop\n", | |
| " eventloop(self)\n", | |
| "TypeError: 'NoneType' object is not callable\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# plotte Spannungsabweichungen\n", | |
| "edisgo.plot_mv_voltages()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Anwendungsfall konventioneller Netzausbau <a class=\"anchor\" id=\"netzausbau\"></a>\n", | |
| "\n", | |
| "Die Netzausbaumethodik orientiert sich an der DENA Verteilnetzstudie [[1]](#[1]) sowie der Verteilnetzstudie Baden-Württemberg [[2]](#[2]). \n", | |
| "\n", | |
| "<img src=\"images/netzausbaumassnahmen.png\" alt=\"Drawing\" style=\"width: 400px;\"/>\n", | |
| "\n", | |
| "Per default sind getrennte Spannungsabweichungsvorgaben vorgesehen, sowie zunächst eine Behebung der Überlastungsprobleme und anschließend die Behebung von Spannungsproblemen. Nach jedem Ausbauschritt wird eine nicht-lineare Lastflussberechnung durchgeführt, um weitere etwaig bestehende Netzprobleme zu identifizieren. (Für weitere Informationen siehe [Dokumentation](http://edisgo.readthedocs.io/en/dev/features_in_detail.html#automatic-grid-expansion).)\n", | |
| "\n", | |
| "Zur Berechnung des Netzausbaubedarfs werden Szenarien benötigt, für die diese berechnet werden sollen. Im open_eGo Projekt wurde folgende Szenarien entwickelt." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### Zukunftsszenarien\n", | |
| "\n", | |
| "| Szenario | Anteil EE | Quelle |\n", | |
| "| ------------- |:-------------:| :-----:|\n", | |
| "| NEP2035 | 65.8% | Netzentwicklungsplan NEP 2015|\n", | |
| "| ego100 | 100% | scenario A of the \"Leitstudie 2010\" |\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Erzeugungskapazitäten (Wind und PV) in dem Beispielnetz im Status Quo:" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style>\n", | |
| " .dataframe thead tr:only-child th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: left;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>nominal_capacity</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>type</th>\n", | |
| " <th></th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>solar</th>\n", | |
| " <td>10203.791</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>wind</th>\n", | |
| " <td>15251.000</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " nominal_capacity\n", | |
| "type \n", | |
| "solar 10203.791\n", | |
| "wind 15251.000" | |
| ] | |
| }, | |
| "execution_count": 12, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "from edisgo.grid.tools import get_gen_info\n", | |
| "gen_info = get_gen_info(edisgo.network, fluctuating=True)\n", | |
| "gen_info.groupby(['type']).sum().loc[:, ['nominal_capacity']]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Update der Erzeugungskapazitäten für das Szenario NEP2035:" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "WARNING:root:Right now only solar and wind generators can be imported from the oedb.\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "edisgo.import_generators(generator_scenario='nep2035')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Erzeugungskapazitäten (Wind und PV) in dem Beispielnetz im NEP2035 Szenario:" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 14, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style>\n", | |
| " .dataframe thead tr:only-child th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: left;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>nominal_capacity</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>type</th>\n", | |
| " <th></th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>solar</th>\n", | |
| " <td>19466.791</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>wind</th>\n", | |
| " <td>53826.000</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " nominal_capacity\n", | |
| "type \n", | |
| "solar 19466.791\n", | |
| "wind 53826.000" | |
| ] | |
| }, | |
| "execution_count": 14, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "gen_info = get_gen_info(edisgo.network, fluctuating=True)\n", | |
| "gen_info.groupby(['type']).sum().loc[:, ['nominal_capacity']]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 24, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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