Run ding0 across 20 representative grid districts and append version suffix

run_ding0_representative_grids.py

import os
import pandas as pd

from egoio.tools import db
from ding0.core import NetworkDing0
from ding0.tools.logger import setup_logger
from ding0.tools.results import save_nd_to_pickle
from sqlalchemy.orm import sessionmaker

# define logger
logger = setup_logger()

# define suffixes, paths, ...
suffix = '_v0.3.0_shapely_1.6.3'
data_path = 'data'

# database connection
engine = db.connection(section='oedb')
session = sessionmaker(bind=engine)()

# define MV Grid Districts that should be treated
# original list of 20 representative grids
# mv_grid_districts = [3196, 3040, 274, 1099, 1977, 2682, 2882, 1476, 1426, 3608,
#                      294, 2490, 525, 1147, 239, 3230, 1103, 1364, 2035, 3021]
# list reduced by faulty one
mv_grid_districts = [3196, 3040, 274, 1977, 2682, 2882, 1476, 1426,
                     294, 2490, 525, 1147, 239, 3230, 1103, 1364, 2035, 3021]

faulty_mvgds = {}

for mvgd in mv_grid_districts:

    try:
        # instantiate new ding0 network object
        nd = NetworkDing0(name='network')

        # run DING0 on selected MV Grid District
        nd.run_ding0(session=session,
                     mv_grid_districts_no=[mvgd])

        # export grid to file (pickle)
        filename = os.path.join(data_path,
                                'ding0_grids_{mvgd}{suffix}.pkl'.format(
                                    mvgd=mvgd, suffix=suffix))

        save_nd_to_pickle(
            nd,
            filename=filename)
    except Exception as e:
        faulty_mvgds.update({mvgd: e})

pd.DataFrame.from_dict(faulty_mvgds, orient='index').to_csv(
    os.path.join(data_path, 'faulty_mvgds{suffix}.csv'.format(suffix=suffix)))