Upload app.py

app.py

@@ -142,7 +142,7 @@ y = m.add_variables(coords = [t,i], name = 'y', lower = 0)          # Electricit
 y_ch = m.add_variables(coords = [t,i], name = 'y_ch', lower = 0)    # Electricity consumption --> für alles außer Elektrolyseure und Speicher ausschließen
 l = m.add_variables(coords = [t,i], name = 'l', lower = 0)          # Storage filling level
 w = m.add_variables(coords = [t], name = 'w', lower = 0)          # RES curtailment
-
+y_curt = m.add_variables(coords = [t,i], name = 'y_curt', lower = 0)
 
 ## Objective function
 C_tot = C_op + C_inv
@@ -171,7 +171,7 @@ maxcha_iSto_t = m.add_constraints((y.sel(i = iSto) + y_ch.sel(i = iSto) - K.sel(
 ptg_prod_iPtG_t = m.add_constraints((y_ch.sel(i = iPtG) - K.sel(i = iPtG) <= K_0_i.sel(i = iPtG)), name = 'max_cha_ptg')
 
 ## Infeed of renewables
-infeed_iRes_t = m.add_constraints((y.sel(i = iRes) - s_t_r_iRes.sel(i = iRes).sel(t = t) * K.sel(i = iRes) <= s_t_r_iRes.sel(i = iRes).sel(t = t) * K_0_i.sel(i = iRes)), name =  'infeed')
+infeed_iRes_t = m.add_constraints((y.sel(i = iRes) - s_t_r_iRes.sel(i = iRes).sel(t = t) * K.sel(i = iRes) + y_curt.sel(i = iRes) == s_t_r_iRes.sel(i = iRes).sel(t = t) * K_0_i.sel(i = iRes)), name =  'infeed')
 
 ## Maximum filling level restriction storage power plant
 maxcapsto_iSto_t = m.add_constraints((l.sel(i = iSto) - K.sel(i = iSto) * e2p_iSto.sel(i = iSto) <= K_0_i.sel(i = iSto) * e2p_iSto.sel(i = iSto)), name = 'max_sto_filling')
@@ -242,7 +242,12 @@ fig = px.line(df_contr_marg, y='dual', x='t',title='contribution margin', color=
 with colb2:
     fig
 
-    
+# curtailment
+df_curtailment = m.solution['y_curt'].sel(i = iRes).to_dataframe().reset_index()
+fig = px.area(m.solution['y_curt'].sel(i = iRes).to_dataframe().reset_index(), y='curtailment', x='t',  title='Curtailment', color='iRes')
+
+with colb1:
+    fig    
 
 # %%
 df_Co2_price = pd.DataFrame({'CO2_Price': [float(m.constraints['CO2_limit'].dual.values) * (-1)]})
@@ -271,6 +276,7 @@ with pd.ExcelWriter(output, engine='xlsxwriter') as writer:
     df_contr_marg.to_excel(writer, sheet_name='Contribution Margin', index=False)
     df_new_capacities.to_excel(writer, sheet_name='Capacities', index=False)
     df_production.to_excel(writer, sheet_name='Production', index=False)
+    df_curtailment.to_excel(writer, sheet_name='Curtailment', index=False)
     df_Co2_price.to_excel(writer, sheet_name='CO2_Price', index=False)