update calculate_line_rating function
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@ -102,15 +102,17 @@ def calculate_line_rating(n):
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shapes = gpd.GeoSeries(shapes, index=relevant_lines.index)
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cutout = atlite.Cutout(snakemake.input.cutout)
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if relevant_lines.r_pu.eq(0).all():
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#Overwrite standard line resistance with line resistance obtained from line type
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relevant_lines["r_pu"]=relevant_lines.join(n.line_types["r_per_length"], on=["type"])['r_per_length']/1000 #in meters
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#Set default number of bundles per line
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relevant_lines["n_bundle"]=1
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#Overwrite standard line resistance with line resistance obtained from line type
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R=relevant_lines.join(n.line_types["r_per_length"], on=["type"])['r_per_length']/1000 #in meters
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#If line type with bundles is given retrieve number of conductors per bundle
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if relevant_lines["type"].str.contains("bundle").all():
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relevant_lines["n_bundle"]=relevant_lines["type"].apply(lambda x: int(re.findall(r"(\d+)-bundle", x)[0]))
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Imax=cutout.line_rating(shapes, relevant_lines.r_pu, D=0.0218 ,Ts=353 , epsilon=0.8, alpha=0.8)
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da = xr.DataArray(data=np.sqrt(3) * Imax * relevant_lines["v_nom"].values.reshape(-1,1) * np.sqrt(relevant_lines["n_bundle"].values.reshape(-1,1)) * relevant_lines["num_parallel"].values.reshape(-1,1)/1e3, #in mW
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relevant_lines["n_bundle"]=relevant_lines["type"].where(relevant_lines["type"].str.contains("bundle")).dropna().apply(lambda x: int(re.findall(r"(\d+)-bundle", x)[0]))
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#Set default number of bundles per line
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relevant_lines["n_bundle"].fillna(1, inplace=True)
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R*=relevant_lines["n_bundle"]
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R=calculate_resistance(T=353, R_ref=R)
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Imax=cutout.line_rating(shapes, R, D=0.0218 ,Ts=353 , epsilon=0.8, alpha=0.8)
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line_factor= relevant_lines.eval("v_nom * n_bundle * num_parallel")/1e3
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da = xr.DataArray(data=np.sqrt(3) * Imax * line_factor.values.reshape(-1,1), #in mW
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attrs=dict(description="Maximal possible power in MW for given line considering line rating"))
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return da
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