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CarlosEpia committed Jul 18, 2023
1 parent f8f4c49 commit 8248da5
Showing 1 changed file with 1 addition and 46 deletions.
47 changes: 1 addition & 46 deletions etrago/appl.py
Original file line number Diff line number Diff line change
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args = {
# Setup and Configuration:
"db": "powerd-data-server", # database session
"db": "powerd-data", # database session
"gridversion": None, # None for model_draft or Version number
"method": { # Choose method and settings for optimization
"type": "lopf", # type of optimization, currently only 'lopf'
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# adjust network regarding eTraGo setting
etrago.adjust_network()
#breakpoint()

# # Generators
# gen = etrago.network.generators
# gen["country"] = gen.bus.map(etrago.network.buses.country)
# import pandas as pd
# ins_cap = pd.DataFrame()
# for (country, carrier), df in gen.groupby(["country", "carrier"]):
# ins_cap.at[country, carrier] = df.p_nom.sum()
# #ins_cap.drop(columns=["load shedding"], inplace=True)

# # Loads
# load = etrago.network.loads
# load_t = etrago.network.loads_t.p_set
# load["country"] = load.bus.map(etrago.network.buses.country)
# load_country = pd.DataFrame()
# for (country, carrier), df in load.groupby(["country", "carrier"]):
# loads_id = df.index
# load_country.at[country, carrier] = load_t[loads_id].sum().sum()

# # storage_units
# sto = etrago.network.storage_units
# sto["country"] = sto.bus.map(etrago.network.buses.country)
# sto_country = pd.DataFrame()
# for (country, carrier), df in sto.groupby(["country", "carrier"]):
# sto_country.at[country, carrier] = df.p_nom.sum()

# # links
# link = etrago.network.links
# link_t = etrago.network.links_t
# link_with_t = link.loc[link.index.isin(link_t["p_max_pu"].columns)]

# # buses
# bus = etrago.network.buses
# bus_country = pd.DataFrame()
# for (country, carrier), df in bus.groupby(["country", "carrier"]):
# bus_country.at[country, carrier] = len(df)

# # subnetworks
# etrago.network.determine_network_topology()
# sub_network = etrago.network.buses.loc[etrago.network.buses.carrier=="AC"]
# sub_network = sub_network.loc[sub_network.country=="DE"]
# sub_network.sub_network.value_counts()
# # ehv network clustering
# etrago.ehv_clustering()

# spatial clustering
etrago.spatial_clustering()
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