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Last active August 29, 2015 14:17
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{
"worksheets": [
{
"cells": [
{
"metadata": {},
"cell_type": "markdown",
"source": "# German SRL during partial eclipse\n\nThis notebook compares the secondary reserve power (German *Sekundärregelleistung*) accessed on 19th and 20th March 2015 in Germany. On the 20th, a partial eclipse around 10:30 local time lead to a (predictable) drop in photovoltaic power output. The question is: did this drop lead to a higher use of reserve power than on another day?"
},
{
"metadata": {},
"cell_type": "heading",
"source": "Data",
"level": 2
},
{
"metadata": {},
"cell_type": "code",
"input": "import pandas as pd\n%matplotlib inline\ntry:\n from StringIO import StringIO # python 2\nexcept ImportError:\n from io import StringIO # python 3",
"prompt_number": 43,
"outputs": [],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "# Data source:\n# https://www.regelleistung.net/ip/action/abrufwert\n# for 20th March 2015, from 0:00 to 13:00 UTC+1 (=MEZ)\nWITHCLIPSE = StringIO(\"\"\"\nTime,Neg,Pos\n00:00,71.759,42.582\n00:15,72.843,19.724\n00:30,198.921,8.607\n00:45,153.034,2.538\n01:00,64.818,188.698\n01:15,77.316,10.428\n01:30,117.959,1.354\n01:45,28.456,12.226\n02:00,13.413,76.095\n02:15,65.464,27.848\n02:30,73.133,5.068\n02:45,31.139,18.426\n03:00,56.142,229.116\n03:15,22.954,161.021\n03:30,17.196,106.757\n03:45,73.383,55.260\n04:00,91.824,19.010\n04:15,148.261,23.986\n04:30,23.253,30.124\n04:45,21.624,85.431\n05:00,78.888,35.339\n05:15,28.211,7.089\n05:30,10.099,128.258\n05:45,27.384,91.747\n06:00,145.500,21.420\n06:15,101.330,13.641\n06:30,147.085,23.471\n06:45,13.687,103.498\n07:00,29.866,57.847\n07:15,12.492,83.247\n07:30,8.910,84.658\n07:45,36.850,144.612\n08:00,61.768,66.118\n08:15,13.897,401.154\n08:30,160.862,16.563\n08:45,347.744,11.877\n09:00,635.564,1.427\n09:15,245.533,9.757\n09:30,477.370,1.100\n09:45,133.610,28.100\n10:00,11.951,454.221\n10:15,1.644,905.944\n10:30,0.949,799.084\n10:45,3.927,554.784\n11:00,186.488,115.580\n11:15,475.932,37.202\n11:30,431.110,16.476\n11:45,156.884,63.453\n12:00,2.909,559.463\n12:15,6.934,282.427\n12:30,23.947,43.637\n12:45,46.561,12.643\n13:00,88.058,7.380\n13:15,165.442,6.936\n13:30,180.633,1.958\n13:45,528.044,0.707\n14:00,336.586,65.098\n14:15,147.593,26.652\n14:30,159.305,38.619\n14:45,226.229,11.185\n15:00,294.249,7.872\n15:15,59.463,11.104\n15:30,0,0\n15:45,448.452,6.017\n16:00,324.291,5.100\n16:15,310.406,11.830\n16:30,145.053,6.846\n\"\"\")",
"prompt_number": 44,
"outputs": [],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "code",
"input": "# Data source:\n# https://www.regelleistung.net/ip/action/abrufwert\n# for 19th March 2015, from 0:00 to 23:45 UTC+1 (=MEZ)\nNOCLIPSE = StringIO(\"\"\"\nTime,Neg,Pos\n00:00,107.378,33.139\n00:15,131.069,84.514\n00:30,67.595,93.240\n00:45,88.616,8.222\n01:00,17.727,200.803\n01:15,93.644,37.027\n01:30,36.850,72.980\n01:45,27.585,78.750\n02:00,79.601,51.514\n02:15,63.779,29.880\n02:30,19.119,78.510\n02:45,47.299,22.307\n03:00,8.813,192.634\n03:15,8.627,113.146\n03:30,5.405,129.965\n03:45,7.518,58.145\n04:00,2.103,136.999\n04:15,38.952,92.258\n04:30,16.926,182.912\n04:45,17.127,167.316\n05:00,72.477,65.849\n05:15,118.211,30.146\n05:30,12.259,323.840\n05:45,16.807,345.613\n06:00,107.306,385.790\n06:15,12.878,301.834\n06:30,130.944,351.478\n06:45,7.753,198.812\n07:00,110.193,34.638\n07:15,37.096,58.847\n07:30,41.215,17.109\n07:45,77.144,2.869\n08:00,20.623,60.675\n08:15,5.885,288.207\n08:30,9.023,67.488\n08:45,1.538,404.108\n09:00,1.507,1108.679\n09:15,1.339,395.496\n09:30,70.538,51.574\n09:45,79.300,55.411\n10:00,10.222,113.430\n10:15,7.550,283.284\n10:30,11.114,158.806\n10:45,22.191,36.464\n11:00,76.406,15.932\n11:15,32.937,189.492\n11:30,73.313,70.981\n11:45,98.011,69.305\n12:00,26.664,215.247\n12:15,23.786,76.545\n12:30,2.648,79.445\n12:45,11.774,162.115\n13:00,0.924,601.617\n13:15,8.869,363.189\n13:30,6.424,194.512\n13:45,5.153,212.306\n14:00,9.715,418.304\n14:15,18.639,390.491\n14:30,5.647,200.984\n14:45,8.854,126.020\n15:00,41.966,134.311\n15:15,21.868,330.121\n15:30,4.586,239.873\n15:45,15.560,163.274\n16:00,57.770,38.646\n16:15,32.586,88.783\n16:30,7.782,106.184\n16:45,20.876,95.320\n17:00,108.115,50.186\n17:15,22.810,123.920\n17:30,13.066,127.940\n17:45,26.059,115.609\n18:00,263.430,10.415\n18:15,475.250,17.595\n18:30,167.153,4.947\n18:45,15.725,397.951\n19:00,4.338,818.137\n19:15,5.399,474.114\n19:30,15.789,105.788\n19:45,15.466,165.120\n20:00,3.735,444.444\n20:15,1.815,462.910\n20:30,5.236,135.727\n20:45,14.826,92.076\n21:00,7.808,408.870\n21:15,2.134,381.338\n21:30,14.774,180.472\n21:45,32.717,65.776\n22:00,18.920,210.048\n22:15,6.848,327.597\n22:30,24.606,429.385\n22:45,125.146,43.564\n23:00,29.316,351.922\n23:15,31.194,204.653\n23:30,49.008,73.470\n23:45,114.203,3.550\n\"\"\")\n",
"prompt_number": 45,
"outputs": [],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "heading",
"source": "Processing",
"level": 2
},
{
"metadata": {},
"cell_type": "code",
"input": "dfs = {}\nfor name, raw in [('none', NOCLIPSE), ('with', WITHCLIPSE)]:\n # parse data to pandas DataFrame\n dfs[name] = pd.read_csv(raw)\n # multiply column 'Neg' by -1 to plot negtive SRL in down direction\n dfs[name].loc[:,'Neg'] *= -1",
"prompt_number": 46,
"outputs": [],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "heading",
"source": "Plot",
"level": 2
},
{
"metadata": {},
"cell_type": "code",
"input": "plot_titles = {\n 'with': '2015-03-20: Partial eclipse around 10:30',\n 'none': '2015-03-19: No eclipse'\n}\nfor name, df in dfs.iteritems():\n df.set_index('Time').plot(kind='area', title=plot_titles[name])",
"prompt_number": 47,
"outputs": [
{
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J+OHeLsWQy322kHg0ibbpbPPz1saD/a7XcKboaJIuLsUSi5q+4dYTZrk1tXIj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\nKn1UikhHWNHXRY/u3lOlaGZAkWqGzVJs4mUxLuuW98au8JS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"text": "<matplotlib.figure.Figure at 0xe789518>",
"output_type": "display_data",
"metadata": {}
},
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Z2AbMSeGcQ4ZM+5LbJVvkgOyQpbmpA1vZtiNQFOFKAu7IMg1XydhBx7LhnoTI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\nZMMVKAJL/u99+ydbIQ9rZIvtOlvkAHdlmTO62HJ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"text": "<matplotlib.figure.Figure at 0xe814a20>",
"output_type": "display_data",
"metadata": {}
}
],
"language": "python",
"trusted": true,
"collapsed": false
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Summary\n\nNo specially high amount of reserve power was drown. However, the peak around 10:30 nicely coincides with the partial eclipse. The author is tempted to conclude that the powerplant scheduling was done appropriately, so that no especially high amount of reserve power was needed."
}
],
"metadata": {}
}
],
"metadata": {
"gist_id": "20f156cdf2b9543124e8",
"name": "",
"signature": "sha256:c46ce984701d3243fe17d1581a6870f1fd62021653ea0e83d46f4ff436ea775b"
},
"nbformat": 3
}
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