ammend changes in linear_optimiation after commiting the in PR #825 (#…

…836)

Signed-off-by: Victor Garcia Reolid <victor@seita.nl>

flexmeasures/data/models/planning/linear_optimization.py

@@ -140,29 +140,19 @@ def commitment_quantity_select(m, c, j):
         return commitment_quantities[c].iloc[j]
 
     def device_max_select(m, d, j):
-        min_v = device_constraints[d]["min"].iloc[j]
         max_v = device_constraints[d]["max"].iloc[j]
         equal_v = device_constraints[d]["equals"].iloc[j]
         if np.isnan(max_v) and np.isnan(equal_v):
             return infinity
         else:
-            if not np.isnan(equal_v):
-                # make min_v < equal_v
-                equal_v = np.nanmax([equal_v, min_v])
-
             return np.nanmin([max_v, equal_v])
 
     def device_min_select(m, d, j):
         min_v = device_constraints[d]["min"].iloc[j]
-        max_v = device_constraints[d]["max"].iloc[j]
         equal_v = device_constraints[d]["equals"].iloc[j]
         if np.isnan(min_v) and np.isnan(equal_v):
             return -infinity
         else:
-            if not np.isnan(equal_v):
-                # make equal_v <= max_v
-                equal_v = np.nanmin([equal_v, max_v])
-
             return np.nanmax([min_v, equal_v])
 
     def device_derivative_max_select(m, d, j):