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build_line_rating: apply black style

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Fabian 2022-02-16 14:32:33 +01:00
parent 75b695eed4
commit 1d975bb814
1 changed files with 40 additions and 18 deletions
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58
scripts/build_line_rating.py
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@ -61,6 +61,7 @@ import atlite
import xarray as xr
import re
def calculate_resistance(T, R_ref, T_ref=293, alpha=0.00403):
"""
Calculates the resistance at other temperatures than the reference temperature.
@ -79,9 +80,10 @@ def calculate_resistance(T, R_ref, T_ref=293, alpha=0.00403):
-------
Resistance of at given temperature.
"""
R=R_ref*(1+alpha*(T-T_ref))
R = R_ref * (1 + alpha * (T - T_ref))
return R
def calculate_line_rating(n):
"""
Calculates the maximal allowed power flow in each line for each time step considering the maximal temperature.
@ -94,7 +96,7 @@ def calculate_line_rating(n):
-------
xarray DataArray object with maximal power.
"""
relevant_lines=n.lines[(n.lines['underground']==False)]
relevant_lines = n.lines[(n.lines["underground"] == False)]
buses = relevant_lines[["bus0", "bus1"]].values
x = n.buses.x
y = n.buses.y
@ -102,28 +104,48 @@ def calculate_line_rating(n):
shapes = gpd.GeoSeries(shapes, index=relevant_lines.index)
cutout = atlite.Cutout(snakemake.input.cutout)
if relevant_lines.r_pu.eq(0).all():
#Overwrite standard line resistance with line resistance obtained from line type
R=relevant_lines.join(n.line_types["r_per_length"], on=["type"])['r_per_length']/1000 #in meters
#If line type with bundles is given retrieve number of conductors per bundle
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]))
#Set default number of bundles per line
# Overwrite standard line resistance with line resistance obtained from line type
r_per_length = n.line_types["r_per_length"]
R = (
relevant_lines.join(r_per_length, on=["type"])["r_per_length"] / 1000
) # in meters
# If line type with bundles is given retrieve number of conductors per bundle
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]))
)
# Set default number of bundles per line
relevant_lines["n_bundle"].fillna(1, inplace=True)
R*=relevant_lines["n_bundle"]
R=calculate_resistance(T=353, R_ref=R)
Imax=cutout.line_rating(shapes, R, D=0.0218 ,Ts=353 , epsilon=0.8, alpha=0.8)
line_factor= relevant_lines.eval("v_nom * n_bundle * num_parallel")/1e3 #in mW
da = xr.DataArray(data=np.sqrt(3) * Imax * line_factor.values.reshape(-1,1),
attrs=dict(description="Maximal possible power in MW for given line considering line rating"))
R *= relevant_lines["n_bundle"]
R = calculate_resistance(T=353, R_ref=R)
Imax = cutout.line_rating(shapes, R, D=0.0218, Ts=353, epsilon=0.8, alpha=0.8)
line_factor = relevant_lines.eval("v_nom * n_bundle * num_parallel") / 1e3 # in mW
da = xr.DataArray(
data=np.sqrt(3) * Imax * line_factor.values.reshape(-1, 1),
attrs=dict(
description="Maximal possible power in MW for given line considering line rating"
),
)
return da
if __name__ == "__main__":
if 'snakemake' not in globals():
if "snakemake" not in globals():
from _helpers import mock_snakemake
snakemake = mock_snakemake('build_line_rating', network='elec', simpl='',
clusters='40', ll='v1.0', opts='Co2L-4H')
snakemake = mock_snakemake(
"build_line_rating",
network="elec",
simpl="",
clusters="40",
ll="v1.0",
opts="Co2L-4H",
)
configure_logging(snakemake)
n = pypsa.Network(snakemake.input.base_network)
da=calculate_line_rating(n)
da.to_netcdf(snakemake.output[0])
da = calculate_line_rating(n)
da.to_netcdf(snakemake.output[0])