Merge branch 'master' into complete-carrier-set
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commit
e2270ea580
@ -283,7 +283,7 @@ def get_aggregation_strategies(aggregation_strategies):
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# when custom values are specified in the config.
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# when custom values are specified in the config.
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import numpy as np
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import numpy as np
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from pypsa.networkclustering import _make_consense
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from pypsa.clustering.spatial import _make_consense
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bus_strategies = dict(country=_make_consense("Bus", "country"))
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bus_strategies = dict(country=_make_consense("Bus", "country"))
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bus_strategies.update(aggregation_strategies.get("buses", {}))
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bus_strategies.update(aggregation_strategies.get("buses", {}))
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@ -689,7 +689,7 @@ def attach_OPSD_renewables(n, tech_map):
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buses = n.buses.loc[gens.bus.unique()]
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buses = n.buses.loc[gens.bus.unique()]
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gens_per_bus = gens.groupby("bus").p_nom.count()
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gens_per_bus = gens.groupby("bus").p_nom.count()
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caps = map_country_bus(df.query("Fueltype == @fueltype"), buses)
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caps = map_country_bus(df.query("Fueltype == @fueltype and lat == lat"), buses)
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caps = caps.groupby(["bus"]).Capacity.sum()
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caps = caps.groupby(["bus"]).Capacity.sum()
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caps = caps / gens_per_bus.reindex(caps.index, fill_value=1)
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caps = caps / gens_per_bus.reindex(caps.index, fill_value=1)
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@ -89,7 +89,7 @@ Description
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**Is it possible to run the model without the** ``simplify_network`` **rule?**
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**Is it possible to run the model without the** ``simplify_network`` **rule?**
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No, the network clustering methods in the PyPSA module
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No, the network clustering methods in the PyPSA module
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`pypsa.networkclustering <https://github.com/PyPSA/PyPSA/blob/master/pypsa/networkclustering.py>`_
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`pypsa.clustering.spatial <https://github.com/PyPSA/PyPSA/blob/master/pypsa/clustering/spatial.py>`_
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do not work reliably with multiple voltage levels and transformers.
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do not work reliably with multiple voltage levels and transformers.
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.. tip::
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.. tip::
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@ -134,7 +134,7 @@ import pyomo.environ as po
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import pypsa
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import pypsa
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import seaborn as sns
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import seaborn as sns
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from _helpers import configure_logging, get_aggregation_strategies, update_p_nom_max
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from _helpers import configure_logging, get_aggregation_strategies, update_p_nom_max
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from pypsa.networkclustering import (
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from pypsa.clustering.spatial import (
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busmap_by_greedy_modularity,
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busmap_by_greedy_modularity,
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busmap_by_hac,
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busmap_by_hac,
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busmap_by_kmeans,
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busmap_by_kmeans,
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@ -484,7 +484,7 @@ if __name__ == "__main__":
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# Fast-path if no clustering is necessary
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# Fast-path if no clustering is necessary
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busmap = n.buses.index.to_series()
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busmap = n.buses.index.to_series()
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linemap = n.lines.index.to_series()
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linemap = n.lines.index.to_series()
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clustering = pypsa.networkclustering.Clustering(
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clustering = pypsa.clustering.spatial.Clustering(
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n, busmap, linemap, linemap, pd.Series(dtype="O")
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n, busmap, linemap, linemap, pd.Series(dtype="O")
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)
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)
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else:
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else:
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@ -95,13 +95,13 @@ import scipy as sp
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from _helpers import configure_logging, get_aggregation_strategies, update_p_nom_max
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from _helpers import configure_logging, get_aggregation_strategies, update_p_nom_max
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from add_electricity import load_costs
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from add_electricity import load_costs
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from cluster_network import cluster_regions, clustering_for_n_clusters
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from cluster_network import cluster_regions, clustering_for_n_clusters
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from pypsa.io import import_components_from_dataframe, import_series_from_dataframe
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from pypsa.clustering.spatial import (
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from pypsa.networkclustering import (
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aggregategenerators,
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aggregategenerators,
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aggregateoneport,
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aggregateoneport,
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busmap_by_stubs,
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busmap_by_stubs,
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get_clustering_from_busmap,
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get_clustering_from_busmap,
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)
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)
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from pypsa.io import import_components_from_dataframe, import_series_from_dataframe
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from scipy.sparse.csgraph import connected_components, dijkstra
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from scipy.sparse.csgraph import connected_components, dijkstra
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logger = logging.getLogger(__name__)
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logger = logging.getLogger(__name__)
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@ -235,8 +235,7 @@ def add_CCL_constraints(n, config):
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p_nom = n.model["Generator-p_nom"]
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p_nom = n.model["Generator-p_nom"]
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gens = n.generators.query("p_nom_extendable").rename_axis(index="Generator-ext")
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gens = n.generators.query("p_nom_extendable").rename_axis(index="Generator-ext")
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grouper = [gens.bus.map(n.buses.country), gens.carrier]
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grouper = pd.concat([gens.bus.map(n.buses.country), gens.carrier])
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grouper = xr.DataArray(pd.MultiIndex.from_arrays(grouper), dims=["Generator-ext"])
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lhs = p_nom.groupby(grouper).sum().rename(bus="country")
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lhs = p_nom.groupby(grouper).sum().rename(bus="country")
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minimum = xr.DataArray(agg_p_nom_minmax["min"].dropna()).rename(dim_0="group")
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minimum = xr.DataArray(agg_p_nom_minmax["min"].dropna()).rename(dim_0="group")
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