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cluster_heat_buses: performance boost and tidy code

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This commit is contained in:
Fabian Neumann 2024-01-04 18:57:09 +01:00
parent cf5f3cbd88
commit 9530d63e55
1 changed files with 13 additions and 16 deletions
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29
scripts/prepare_sector_network.py
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@ -3332,24 +3332,24 @@ def limit_individual_line_extension(n, maxext):
aggregate_dict = {
"p_nom": "sum",
"s_nom": "sum",
"p_nom": pd.Series.sum,
"s_nom": pd.Series.sum,
"v_nom": "max",
"v_mag_pu_max": "min",
"v_mag_pu_min": "max",
"p_nom_max": "sum",
"s_nom_max": "sum",
"p_nom_min": "sum",
"s_nom_min": "sum",
"p_nom_max": pd.Series.sum,
"s_nom_max": pd.Series.sum,
"p_nom_min": pd.Series.sum,
"s_nom_min": pd.Series.sum,
"v_ang_min": "max",
"v_ang_max": "min",
"terrain_factor": "mean",
"num_parallel": "sum",
"p_set": "sum",
"e_initial": "sum",
"e_nom": "sum",
"e_nom_max": "sum",
"e_nom_min": "sum",
"e_nom": pd.Series.sum,
"e_nom_max": pd.Series.sum,
"e_nom_min": pd.Series.sum,
"state_of_charge_initial": "sum",
"state_of_charge_set": "sum",
"inflow": "sum",
@ -3411,13 +3411,10 @@ def cluster_heat_buses(n):
pnl = c.pnl
agg = define_clustering(pd.Index(pnl.keys()), aggregate_dict)
for k in pnl.keys():
pnl[k].rename(
columns=lambda x: x.replace("residential ", "").replace(
"services ", ""
),
inplace=True,
)
pnl[k] = pnl[k].groupby(level=0, axis=1).agg(agg[k], **agg_group_kwargs)
def renamer(s):
return s.replace("residential ", "").replace("services ", "")
pnl[k] = pnl[k].groupby(renamer, axis=1).agg(agg[k], **agg_group_kwargs)
# remove unclustered assets of service/residential
to_drop = c.df.index.difference(df.index)