Battery SoC = 0 > set Discharge randomply to 0/1. For longer periods of storage (#366)

* Battery SoC = 0 > hard Discharge Setting Off

src/akkudoktoreos/optimization/genetic.py

@@ -442,29 +442,41 @@ class optimization_problem(ConfigMixin, DevicesMixin, EnergyManagementSystemMixi
                 individual[:] = adjusted_individual
 
         # New check: Activate discharge when battery SoC is 0
-        battery_soc_per_hour = np.array(
-            o.get("akku_soc_pro_stunde", [])
-        )  # Example key for battery SoC
+        # battery_soc_per_hour = np.array(
+        #     o.get("akku_soc_pro_stunde", [])
+        # )  # Example key for battery SoC
 
-        if battery_soc_per_hour is not None:
-            if battery_soc_per_hour is None or discharge_hours_bin is None:
-                raise ValueError("battery_soc_per_hour or discharge_hours_bin is None")
-            min_length = min(battery_soc_per_hour.size, discharge_hours_bin.size)
-            battery_soc_per_hour_tail = battery_soc_per_hour[-min_length:]
-            discharge_hours_bin_tail = discharge_hours_bin[-min_length:]
-            len_ac = len(self.config.optimization_ev_available_charge_rates_percent)
+        # if battery_soc_per_hour is not None:
+        #     if battery_soc_per_hour is None or discharge_hours_bin is None:
+        #         raise ValueError("battery_soc_per_hour or discharge_hours_bin is None")
+        #     min_length = min(battery_soc_per_hour.size, discharge_hours_bin.size)
+        #     battery_soc_per_hour_tail = battery_soc_per_hour[-min_length:]
+        #     discharge_hours_bin_tail = discharge_hours_bin[-min_length:]
+        #     len_ac = len(self.config.optimization_ev_available_charge_rates_percent)
 
-            # Find hours where battery SoC is 0
-            zero_soc_mask = battery_soc_per_hour_tail == 0
-            discharge_hours_bin_tail[zero_soc_mask] = (
-                len_ac + 2
-            )  # Activate discharge for these hours
+        #     # # Find hours where battery SoC is 0
+        #     # zero_soc_mask = battery_soc_per_hour_tail == 0
+        #     # discharge_hours_bin_tail[zero_soc_mask] = (
+        #     #     len_ac + 2
+        #     # )  # Activate discharge for these hours
 
-            # Merge the updated discharge_hours_bin back into the individual
-            adjusted_individual = self.merge_individual(
-                discharge_hours_bin, eautocharge_hours_index, washingstart_int
-            )
-            individual[:] = adjusted_individual
+        #     # When Battery SoC then set the Discharge randomly to 0 or 1. otherwise it's very unlikely to get a state where a battery can store energy for a longer time
+        #     # Find hours where battery SoC is 0
+        #     zero_soc_mask = battery_soc_per_hour_tail == 0
+        #     # discharge_hours_bin_tail[zero_soc_mask] = (
+        #     # len_ac + 2
+        #     # )  # Activate discharge for these hours
+        #     set_to_len_ac_plus_2 = np.random.rand() < 0.5  # True mit 50% Wahrscheinlichkeit
+
+        #     # Werte setzen basierend auf der zufälligen Entscheidung
+        #     value_to_set = len_ac + 2 if set_to_len_ac_plus_2 else 0
+        #     discharge_hours_bin_tail[zero_soc_mask] = value_to_set
+
+        #     # Merge the updated discharge_hours_bin back into the individual
+        #     adjusted_individual = self.merge_individual(
+        #         discharge_hours_bin, eautocharge_hours_index, washingstart_int
+        #     )
+        #     individual[:] = adjusted_individual
 
         # More metrics
         individual.extra_data = (  # type: ignore[attr-defined]