add more params in simplify_network.py
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@ -318,6 +318,12 @@ rule simplify_network:
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clustering=config["clustering"],
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electricity=config["electricity"],
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costs=config["costs"],
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renewable=config["renewable"],
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length_factor=config["lines"]["length_factor"],
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p_max_pu=config["links"].get("p_max_pu", 1.0),
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exclude_carriers=config["clustering"]["simplify_network"].get("exclude_carriers", []),
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focus_weights=config.get("focus_weights", None),
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solver_name=config["solving"]["solver"]["name"],
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input:
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network=RESOURCES + "networks/elec.nc",
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tech_costs=COSTS,
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@ -350,7 +356,7 @@ rule cluster_network:
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lines=config["lines"],
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renewable=config["renewable"],
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clustering=config["clustering"],
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enable=config["enable"].get("custom_busmap", False),
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custom_busmap=config["enable"].get("custom_busmap", False),
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input:
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network=RESOURCES + "networks/elec_s{simpl}.nc",
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regions_onshore=RESOURCES + "regions_onshore_elec_s{simpl}.geojson",
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@ -756,7 +756,7 @@ if __name__ == "__main__":
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ppl,
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conventional_carriers,
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extendable_carriers,
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snakemake.params.get("conventional", {}),
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snakemake.params["conventional"],
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conventional_inputs,
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)
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@ -521,7 +521,7 @@ if __name__ == "__main__":
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for p in aggregation_strategies.keys()
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}
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custom_busmap = snakemake.params["enable"].get("custom_busmap", False)
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custom_busmap = snakemake.params["custom_busmap"]
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if custom_busmap:
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custom_busmap = pd.read_csv(
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snakemake.input.custom_busmap, index_col=0, squeeze=True
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@ -149,17 +149,17 @@ def simplify_network_to_380(n):
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return n, trafo_map
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def _prepare_connection_costs_per_link(n, costs, config):
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def _prepare_connection_costs_per_link(n, costs, renewable_param, length_factor_param):
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if n.links.empty:
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return {}
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connection_costs_per_link = {}
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for tech in config["renewable"]:
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for tech in renewable_param:
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if tech.startswith("offwind"):
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connection_costs_per_link[tech] = (
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n.links.length
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* config["lines"]["length_factor"]
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* length_factor_param
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* (
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n.links.underwater_fraction
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* costs.at[tech + "-connection-submarine", "capital_cost"]
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@ -172,10 +172,10 @@ def _prepare_connection_costs_per_link(n, costs, config):
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def _compute_connection_costs_to_bus(
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n, busmap, costs, config, connection_costs_per_link=None, buses=None
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n, busmap, costs, renewable_param, length_factor_param, connection_costs_per_link=None, buses=None
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):
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if connection_costs_per_link is None:
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connection_costs_per_link = _prepare_connection_costs_per_link(n, costs, config)
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connection_costs_per_link = _prepare_connection_costs_per_link(n, costs, renewable_param, length_factor_param)
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if buses is None:
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buses = busmap.index[busmap.index != busmap.values]
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@ -265,7 +265,7 @@ def _aggregate_and_move_components(
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n.mremove(c, df.index[df.bus0.isin(buses_to_del) | df.bus1.isin(buses_to_del)])
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def simplify_links(n, costs, config, output, aggregation_strategies=dict()):
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def simplify_links(n, costs, renewable_param, length_factor_param, p_max_pu_param, exclude_carriers_param, output, aggregation_strategies=dict()):
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## Complex multi-node links are folded into end-points
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logger.info("Simplifying connected link components")
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@ -315,7 +315,7 @@ def simplify_links(n, costs, config, output, aggregation_strategies=dict()):
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busmap = n.buses.index.to_series()
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connection_costs_per_link = _prepare_connection_costs_per_link(n, costs, config)
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connection_costs_per_link = _prepare_connection_costs_per_link(n, costs, renewable_param, length_factor_param)
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connection_costs_to_bus = pd.DataFrame(
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0.0, index=n.buses.index, columns=list(connection_costs_per_link)
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)
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@ -333,12 +333,11 @@ def simplify_links(n, costs, config, output, aggregation_strategies=dict()):
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)
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busmap.loc[buses] = b[np.r_[0, m.argmin(axis=0), 1]]
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connection_costs_to_bus.loc[buses] += _compute_connection_costs_to_bus(
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n, busmap, costs, config, connection_costs_per_link, buses
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n, busmap, costs, renewable_param, length_factor_param, connection_costs_per_link, buses
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)
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all_links = [i for _, i in sum(links, [])]
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p_max_pu = config["links"].get("p_max_pu", 1.0)
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lengths = n.links.loc[all_links, "length"]
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name = lengths.idxmax() + "+{}".format(len(links) - 1)
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params = dict(
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@ -354,8 +353,8 @@ def simplify_links(n, costs, config, output, aggregation_strategies=dict()):
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/ lengths.sum()
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* n.links.loc[all_links, "underwater_fraction"]
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),
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p_max_pu=p_max_pu,
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p_min_pu=-p_max_pu,
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p_max_pu=p_max_pu_param,
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p_min_pu=-p_max_pu_param,
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underground=False,
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under_construction=False,
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)
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@ -377,33 +376,29 @@ def simplify_links(n, costs, config, output, aggregation_strategies=dict()):
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logger.debug("Collecting all components using the busmap")
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exclude_carriers = config["clustering"]["simplify_network"].get(
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"exclude_carriers", []
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)
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_aggregate_and_move_components(
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n,
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busmap,
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connection_costs_to_bus,
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output,
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aggregation_strategies=aggregation_strategies,
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exclude_carriers=exclude_carriers,
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exclude_carriers=exclude_carriers_param,
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)
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return n, busmap
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def remove_stubs(n, costs, config, output, aggregation_strategies=dict()):
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def remove_stubs(n, costs, renewable_param, length_factor_param, clustering_param, exclude_carriers_param, output, aggregation_strategies=dict()):
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logger.info("Removing stubs")
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across_borders = config["clustering"]["simplify_network"].get(
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across_borders = clustering_param["simplify_network"].get(
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"remove_stubs_across_borders", True
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)
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matching_attrs = [] if across_borders else ["country"]
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busmap = busmap_by_stubs(n, matching_attrs)
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connection_costs_to_bus = _compute_connection_costs_to_bus(n, busmap, costs, config)
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connection_costs_to_bus = _compute_connection_costs_to_bus(n, busmap, costs, renewable_param, length_factor_param)
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exclude_carriers = config["clustering"]["simplify_network"].get(
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exclude_carriers = clustering_param["simplify_network"].get(
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"exclude_carriers", []
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)
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@ -473,17 +468,15 @@ def aggregate_to_substations(n, aggregation_strategies=dict(), buses_i=None):
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def cluster(
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n, n_clusters, config, algorithm="hac", feature=None, aggregation_strategies=dict()
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n, n_clusters, focus_weights_param, renewable_param, solver_name_param, algorithm="hac", feature=None, aggregation_strategies=dict()
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):
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logger.info(f"Clustering to {n_clusters} buses")
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focus_weights = config.get("focus_weights", None)
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renewable_carriers = pd.Index(
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[
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tech
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for tech in n.generators.carrier.unique()
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if tech.split("-", 2)[0] in config["renewable"]
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if tech.split("-", 2)[0] in renewable_param
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]
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)
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@ -492,10 +485,10 @@ def cluster(
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n_clusters,
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custom_busmap=False,
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aggregation_strategies=aggregation_strategies,
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solver_name=config["solving"]["solver"]["name"],
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solver_name=solver_name_param,
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algorithm=algorithm,
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feature=feature,
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focus_weights=focus_weights,
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focus_weights=focus_weights_param,
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)
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return clustering.network, clustering.busmap
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@ -531,23 +524,32 @@ if __name__ == "__main__":
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)
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n, simplify_links_map = simplify_links(
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n, technology_costs, snakemake.config, snakemake.output, aggregation_strategies
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n, technology_costs,
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snakemake.params['renewable'],
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snakemake.params['length_factor'],
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snakemake.params['p_max_pu'],
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snakemake.params['exclude_carriers'],
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snakemake.output,
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aggregation_strategies
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)
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busmaps = [trafo_map, simplify_links_map]
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cluster_config = snakemake.params["clustering"]["simplify_network"]
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if cluster_config.get("remove_stubs", True):
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cluster_param = snakemake.params["clustering"]["simplify_network"]
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if cluster_param.get("remove_stubs", True):
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n, stub_map = remove_stubs(
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n,
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technology_costs,
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snakemake.config,
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snakemake.params['renewable'],
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snakemake.params['length_factor'],
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snakemake.params["clustering"],
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snakemake.params['exclude_carriers'],
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snakemake.output,
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aggregation_strategies=aggregation_strategies,
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)
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busmaps.append(stub_map)
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if cluster_config.get("to_substations", False):
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if cluster_param.get("to_substations", False):
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n, substation_map = aggregate_to_substations(n, aggregation_strategies)
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busmaps.append(substation_map)
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@ -558,10 +560,10 @@ if __name__ == "__main__":
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.get("cluster_network", {})
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.get("algorithm", "hac")
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== "hac"
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or cluster_config.get("algorithm", "hac") == "hac"
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or cluster_param.get("algorithm", "hac") == "hac"
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):
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carriers = (
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cluster_config.get("feature", "solar+onwind-time").split("-")[0].split("+")
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cluster_param.get("feature", "solar+onwind-time").split("-")[0].split("+")
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)
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for carrier in carriers:
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buses_i = list(
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@ -577,9 +579,11 @@ if __name__ == "__main__":
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n, cluster_map = cluster(
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n,
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int(snakemake.wildcards.simpl),
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snakemake.config,
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cluster_config.get("algorithm", "hac"),
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cluster_config.get("feature", None),
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snakemake.params['focus_weights'],
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snakemake.params['renewable'],
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snakemake.params['solver_name'],
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cluster_param.get("algorithm", "hac"),
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cluster_param.get("feature", None),
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aggregation_strategies,
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)
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busmaps.append(cluster_map)
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