adjust s_max_pu clipping
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@ -526,13 +526,13 @@ def estimate_renewable_capacities(n, tech_map):
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.where(lambda s: s>0.1, 0.)) # only capacities above 100kW
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n.generators.loc[tech_i, 'p_nom_min'] = n.generators.loc[tech_i, 'p_nom']
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def attach_line_rating(n, fn, s_max_pu_factor):
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def attach_line_rating(n, fn, s_max_pu_factor,dlr_factor):
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s_max = xr.open_dataarray(fn).to_pandas().transpose()
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n.lines_t.s_max_pu = s_max / n.lines.s_nom[s_max.columns] #only considers overhead lines
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# account for maximal voltage angles of maximally 30 degree.
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x = n.lines.type.map(n.line_types["x_per_length"])*n.lines.length/(n.lines.v_nom**2)
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s_max_pu_cap = (np.pi / (6 * x * n.lines.s_nom)).clip(lower=1) # need to clip here as cap values are below 1 -> would mean the line cannot be operated at actual given pessimistic ampacity
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n.lines_t.s_max_pu = n.lines_t.s_max_pu.clip(upper=s_max_pu_cap, lower=1, axis=1)*s_max_pu_factor
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x_pu = n.lines.type.map(n.line_types["x_per_length"])*n.lines.length/(n.lines.v_nom**2)
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s_max_pu_cap = (np.pi / (6 * x_pu * n.lines.s_nom)).clip(lower=1) # need to clip here as cap values are below 1 -> would mean the line cannot be operated at actual given pessimistic ampacity
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n.lines_t.s_max_pu = n.lines_t.s_max_pu.clip(upper=s_max_pu_cap, lower=1, axis=1)*s_max_pu_factor*dlr_factor
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def add_nice_carrier_names(n, config):
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carrier_i = n.carriers.index
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@ -584,8 +584,9 @@ if __name__ == "__main__":
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update_p_nom_max(n)
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if snakemake.config["lines"]["line_rating"]:
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s_max_pu_factor = snakemake.config["lines"]["s_max_pu"]
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attach_line_rating(n, snakemake.input.line_rating, s_max_pu_factor)
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s_max_pu_factor = snakemake.config["lines"]["s_max_pu"] #factor mainly used for N-1 security
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dlr_factor=snakemake.config["lines"]["dlr_factor"] #factor due to overestimation of the wind speed in hourly averaged wind data
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attach_line_rating(n, snakemake.input.line_rating, s_max_pu_factor, dlr_factor)
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add_nice_carrier_names(n, snakemake.config)
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