line-rating: adjust config keys

This commit is contained in:
Fabian 2022-09-06 16:40:00 +02:00
parent 548e955449
commit 8798b3e203
2 changed files with 35 additions and 17 deletions

View File

@ -546,18 +546,20 @@ def estimate_renewable_capacities(n, config):
logger.info(f"Reducing capacity expansion limit to {expansion_limit*100:.2f}% of installed capacity.")
n.generators.loc[tech_i, 'p_nom_max'] = float(expansion_limit) * n.generators.loc[tech_i, 'p_nom_min']
def attach_line_rating(n, fn, s_max_pu_factor,dlr_factor, line_clipping):
s_max = xr.open_dataarray(fn).to_pandas().transpose()
n.lines_t.s_max_pu = (s_max / n.lines.s_nom[s_max.columns]) * dlr_factor #only considers overhead lines
# account for maximal voltage angles of maximally 30 degree.
if line_clipping:
def attach_line_rating(n, rating, s_max_pu, correction_factor, max_voltage_difference, max_line_rating):
# TODO: Only considers overhead lines
n.lines_t.s_max_pu = (rating / n.lines.s_nom[rating.columns]) * correction_factor
if max_voltage_difference:
x_pu = n.lines.type.map(n.line_types["x_per_length"])*n.lines.length/(n.lines.v_nom**2)
s_max_pu_cap = (np.pi / (6 * x_pu * n.lines.s_nom)).clip(lower=1) # need to clip here as cap values might be below 1 -> would mean the line cannot be operated at actual given pessimistic ampacity
n.lines_t.s_max_pu = n.lines_t.s_max_pu.clip(upper=s_max_pu_cap, lower=1, axis=1)
n.lines_t.s_max_pu*=s_max_pu_factor
# need to clip here as cap values might be below 1
# -> would mean the line cannot be operated at actual given pessimistic ampacity
s_max_pu_cap = (np.pi / (6 * x_pu * n.lines.s_nom)).clip(lower=1)
n.lines_t.s_max_pu = n.lines_t.s_max_pu.clip(lower=1, upper=s_max_pu_cap, axis=1)
if max_line_rating:
n.lines_t.s_max_pu = n.lines_t.s_max_pu.clip(upper=max_line_rating)
n.lines_t.s_max_pu *= s_max_pu
def add_nice_carrier_names(n, config):
carrier_i = n.carriers.index
nice_names = (pd.Series(config['plotting']['nice_names'])
@ -605,11 +607,27 @@ if __name__ == "__main__":
update_p_nom_max(n)
if snakemake.config["lines"]["line_rating"]:
s_max_pu_factor = snakemake.config["lines"]["s_max_pu"] #factor mainly used for N-1 security
dlr_factor=snakemake.config["lines"]["dlr_factor"] #factor due to overestimation of the wind speed in hourly averaged wind data
line_clipping=snakemake.config["lines"]["line_clipping"]
attach_line_rating(n, snakemake.input.line_rating, s_max_pu_factor, dlr_factor, line_clipping)
line_rating_config = snakemake.config["lines"]["dynamic_line_rating"]
if line_rating_config["activate"]:
rating = xr.open_dataarray(snakemake.input.line_rating).to_pandas().transpose()
s_max_pu = snakemake.config["lines"]["s_max_pu"]
correction_factor = line_rating_config['correction_factor']
max_voltage_difference = line_rating_config['max_voltage_difference']
max_line_rating = line_rating_config['max_line_rating']
if "DLR" in snakemake.wildcards['opts']:
opts = snakemake.wildcards['opts'].split("-")
max_line_rating = float([opt[3:] for opt in opts if "DLR" in opt ].pop())
logger.info(f"Adjusting maximal relative line rating to {max_line_rating}.")
attach_line_rating(
n,
rating,
s_max_pu,
correction_factor,
max_voltage_difference,
max_line_rating
)
add_nice_carrier_names(n, snakemake.config)

View File

@ -84,7 +84,7 @@ def calculate_resistance(T, R_ref, T_ref=293, alpha=0.00403):
return R
def calculate_line_rating(n):
def calculate_line_rating(n, cutout):
"""
Calculates the maximal allowed power flow in each line for each time step considering the maximal temperature.
@ -102,7 +102,6 @@ def calculate_line_rating(n):
y = n.buses.y
shapes = [Line([Point(x[b0], y[b0]), Point(x[b1], y[b1])]) for (b0, b1) in buses]
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_per_length = n.line_types["r_per_length"]
@ -146,6 +145,7 @@ if __name__ == "__main__":
configure_logging(snakemake)
n = pypsa.Network(snakemake.input.base_network)
cutout = atlite.Cutout(snakemake.input.cutout)
da = calculate_line_rating(n)
da = calculate_line_rating(n, cutout)
da.to_netcdf(snakemake.output[0])