Adapt disabling transmission expansion to also handle cost limit
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@ -124,29 +124,57 @@ def add_brownfield(n, n_p, year):
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n.links.loc[new_pipes, "p_nom_min"] = 0.0
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def disable_grid_expansion_if_LV_limit_hit(n):
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if "lv_limit" not in n.global_constraints.index:
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return
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def disable_grid_expansion_if_limit_hit(n):
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"""
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Check if transmission expansion limit is already reached; then turn off.
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total_expansion = (
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n.lines.eval("s_nom_min * length").sum()
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+ n.links.query("carrier == 'DC'").eval("p_nom_min * length").sum()
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).sum()
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In particular, this function checks if the total transmission
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capital cost or volume implied by s_nom_min and p_nom_min are
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numerically close to the respective global limit set in
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n.global_constraints. If so, the nominal capacities are set to the
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minimum and extendable is turned off; the corresponding global
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constraint is then dropped.
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"""
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cols = {"cost": "capital_cost", "volume": "length"}
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for limit_type in ["cost", "volume"]:
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glcs = n.global_constraints.query(
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f"type == 'transmission_expansion_{limit_type}_limit'"
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)
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lv_limit = n.global_constraints.at["lv_limit", "constant"]
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for name, glc in glcs.iterrows():
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total_expansion = (
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(
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n.lines.query("p_nom_extendable")
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.eval(f"s_nom_min * {cols[limit_type]}")
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.sum()
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)
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+ (
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n.links.query("carrier == 'DC' and p_nom_extendable")
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.eval(f"p_nom_min * {cols[limit_type]}")
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.sum()
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)
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).sum()
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# allow small numerical differences
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if lv_limit - total_expansion < 1:
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logger.info("LV is already reached, disabling expansion and LV limit")
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extendable_acs = n.lines.query("s_nom_extendable").index
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n.lines.loc[extendable_acs, "s_nom_extendable"] = False
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n.lines.loc[extendable_acs, "s_nom"] = n.lines.loc[extendable_acs, "s_nom_min"]
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# Allow small numerical differences
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if np.abs(glc.constant - total_expansion) / glc.constant < 1e-6:
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logger.info(
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f"Transmission expansion {limit_type} is already reached, disabling expansion and limit"
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)
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extendable_acs = n.lines.query("s_nom_extendable").index
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n.lines.loc[extendable_acs, "s_nom_extendable"] = False
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n.lines.loc[extendable_acs, "s_nom"] = n.lines.loc[
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extendable_acs, "s_nom_min"
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]
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extendable_dcs = n.links.query("carrier == 'DC' and p_nom_extendable").index
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n.links.loc[extendable_dcs, "p_nom_extendable"] = False
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n.links.loc[extendable_dcs, "p_nom"] = n.links.loc[extendable_dcs, "p_nom_min"]
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extendable_dcs = n.links.query(
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"carrier == 'DC' and p_nom_extendable"
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).index
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n.links.loc[extendable_dcs, "p_nom_extendable"] = False
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n.links.loc[extendable_dcs, "p_nom"] = n.links.loc[
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extendable_dcs, "p_nom_min"
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]
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n.global_constraints.drop("lv_limit", inplace=True)
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n.global_constraints.drop(name, inplace=True)
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def adjust_renewable_profiles(n, input_profiles, params, year):
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@ -233,7 +261,7 @@ if __name__ == "__main__":
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add_brownfield(n, n_p, year)
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disable_grid_expansion_if_LV_limit_hit(n)
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disable_grid_expansion_if_limit_hit(n)
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n.meta = dict(snakemake.config, **dict(wildcards=dict(snakemake.wildcards)))
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n.export_to_netcdf(snakemake.output[0])
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