validate: add line plot for price comparison

config/config.validation.yaml

@@ -70,10 +70,12 @@ renewable:
     cutout: europe-2019-era5
 
 conventional:
-  unit_commitment: false
+  unit_commitment: true
   dynamic_fuel_price: true
   nuclear:
     p_max_pu: "data/nuclear_p_max_pu.csv" # float of file name
+  biomass:
+    p_max_pu: 0.7
 
 
 load:

config/test/config.validation.yaml

@@ -17,9 +17,9 @@ snapshots:
   inclusive: 'left' # include start, not end
 
 conventional:
-  unit_commitment: false
+  unit_commitment: true
 
 solving:
   options:
-    linearized_unit_commitment: false
+    linearized_unit_commitment: true
     rolling_horizon: false

rules/validate.smk

@@ -8,7 +8,7 @@ PRODUCTION_PLOTS = [
     "seasonal_operation_area",
 ]
 CROSS_BORDER_PLOTS = []
-PRICES_PLOTS = ["price_bar"]
+PRICES_PLOTS = ["price_bar", "price_line"]
 
 
 rule build_electricity_production:

scripts/plot_validation_electricity_prices.py

@@ -44,7 +44,6 @@ if __name__ == "__main__":
     data = pd.concat([historic, optimized], keys=["Historic", "Optimized"], axis=1)
     data.columns.names = ["Kind", "Country"]
 
-    # %% total production per carrier
     fig, ax = plt.subplots(figsize=(6, 6))
 
     df = data.mean().unstack().T
@@ -52,6 +51,13 @@ if __name__ == "__main__":
     ax.grid(axis="y")
     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
     with open(snakemake.output.plots_touch, "a"):
         pass