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validate: add line plot for price comparison

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This commit is contained in:
Fabian 2023-07-19 10:11:54 +02:00
parent 9dcdb8037e
commit 793573f655
4 changed files with 13 additions and 5 deletions
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4
config/config.validation.yaml
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@ -70,10 +70,12 @@ renewable:
cutout: europe-2019-era5 cutout: europe-2019-era5
conventional: conventional:
unit_commitment: false unit_commitment: true
dynamic_fuel_price: true dynamic_fuel_price: true
nuclear: nuclear:
p_max_pu: "data/nuclear_p_max_pu.csv" # float of file name p_max_pu: "data/nuclear_p_max_pu.csv" # float of file name
biomass:
p_max_pu: 0.7
load: load:

4
config/test/config.validation.yaml
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@ -17,9 +17,9 @@ snapshots:
inclusive: 'left' # include start, not end inclusive: 'left' # include start, not end
conventional: conventional:
unit_commitment: false unit_commitment: true
solving: solving:
options: options:
linearized_unit_commitment: false linearized_unit_commitment: true
rolling_horizon: false rolling_horizon: false

2
rules/validate.smk
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@ -8,7 +8,7 @@ PRODUCTION_PLOTS = [
"seasonal_operation_area", "seasonal_operation_area",
] ]
CROSS_BORDER_PLOTS = [] CROSS_BORDER_PLOTS = []
PRICES_PLOTS = ["price_bar"] PRICES_PLOTS = ["price_bar", "price_line"]
rule build_electricity_production: rule build_electricity_production:

8
scripts/plot_validation_electricity_prices.py
View File

@ -44,7 +44,6 @@ if __name__ == "__main__":
data = pd.concat([historic, optimized], keys=["Historic", "Optimized"], axis=1) data = pd.concat([historic, optimized], keys=["Historic", "Optimized"], axis=1)
data.columns.names = ["Kind", "Country"] data.columns.names = ["Kind", "Country"]
# %% total production per carrier
fig, ax = plt.subplots(figsize=(6, 6)) fig, ax = plt.subplots(figsize=(6, 6))
df = data.mean().unstack().T df = data.mean().unstack().T
@ -52,6 +51,13 @@ if __name__ == "__main__":
ax.grid(axis="y") ax.grid(axis="y")
fig.savefig(snakemake.output.price_bar, bbox_inches="tight") fig.savefig(snakemake.output.price_bar, bbox_inches="tight")
fig, ax = plt.subplots()
df = data.groupby(level="Kind", axis=1).mean()
df.plot(ax=ax, xlabel="", ylabel="Electricity Price [€/MWh]", alpha=0.8)
ax.grid(axis="x")
fig.savefig(snakemake.output.price_line, bbox_inches="tight")
# touch file # touch file
with open(snakemake.output.plots_touch, "a"): with open(snakemake.output.plots_touch, "a"):
pass pass