fix solveru

backend/services/planning_engine.py

@@ -59,7 +59,7 @@ NEG_SELL_CURTAIL_PENALTY_CZK_KWH = 1.0
 NEG_SELL_PV_CHARGE_REWARD_CZK_KWH = 0.8
 # Měkký tlak: v okně sell<0 dobít na soc_max (ne zastavit na ~94 % kvůli curtail).
 NEG_SELL_SOC_UNDERFILL_PENALTY_CZK_PER_WH = 0.35
-PLANNER_BUILD_TAG = "2026-05-24-ba81-pv-b-export-v5"
+PLANNER_BUILD_TAG = "2026-05-24-ba81-gen-cutoff-v6"
 CORRECTION_WINDOW_H  = 1        # hodina zpět pro výpočet korekčního faktoru
 CORRECTION_MIN_CLAMP = 0.5      # spodní limit korekčního faktoru
 CORRECTION_MAX_CLAMP = 1.5      # horní limit korekčního faktoru
@@ -1607,11 +1607,12 @@ def solve_dispatch(
             )
             if block_pv_export_neg_sell:
                 prob += ge_pv[t] == 0
-            # Tvrdý zákaz celého vývozu (GEN / fixní nákup bez pole B).
+            # Tvrdý zákaz vývozu jen při block_export_on_negative_sell (KV1).
+            # GEN cut-off (z_gen_cutoff) nesmí vynutit ge==0 — jinak nelze odvést pole B při plné baterii (BA81).
             block_neg_sell_export = bool(
                 getattr(grid, "block_export_on_negative_sell", False)
             )
-            if z_gen_cutoff is not None or block_neg_sell_export:
+            if block_neg_sell_export:
                 prob += ge[t] == 0
                 prob += ge_pv[t] == 0
                 prob += ge_bat[t] == 0
@@ -1812,7 +1813,10 @@ def solve_dispatch(
                 and not getattr(grid, "block_export_on_negative_sell", False)
             )
             if fixed_pv_b_export_cap:
-                prob += ge_pv[t] <= max(0.0, float(s.pv_b_forecast_w))
+                if z_gen_cutoff is not None:
+                    prob += ge_pv[t] <= float(s.pv_b_forecast_w) * (1 - z_gen_cutoff[t])
+                else:
+                    prob += ge_pv[t] <= max(0.0, float(s.pv_b_forecast_w))
             if (
                 not allow_pre_neg_pv_export
                 and not skip_pv_store_block

backend/tests/test_planning_dispatch_milp.py

@@ -1222,7 +1222,7 @@ class NegativeSellPvChargeTests(unittest.TestCase):
             50.0,
             operating_mode="AUTO",
         )
-        self.assertEqual(snap.get("planner_build_tag"), "2026-05-24-ba81-pv-b-export-v5")
+        self.assertEqual(snap.get("planner_build_tag"), "2026-05-24-ba81-gen-cutoff-v6")
         self.assertGreater(
             results[0].battery_setpoint_w,
             5_500,
@@ -1366,7 +1366,71 @@ class NegativeSellPvChargeTests(unittest.TestCase):
             50.0,
             operating_mode="AUTO",
         )
-        self.assertEqual(snap.get("planner_build_tag"), "2026-05-24-ba81-pv-b-export-v5")
+        self.assertEqual(snap.get("planner_build_tag"), "2026-05-24-ba81-gen-cutoff-v6")
+        self.assertEqual(len(results), len(slots))
+
+    def test_gen_cutoff_full_soc_neg_sell_with_pv_b_feasible(self) -> None:
+        """BA81: 100 % SoC + sell<0 + GEN cut-off — dříve ge==0 → Infeasible."""
+        slots = [
+            PlanningSlot(
+                interval_start=datetime(2026, 5, 24, 9, 0, tzinfo=timezone.utc)
+                + timedelta(minutes=15 * i),
+                buy_price=3.088,
+                sell_price=-1.5,
+                pv_a_forecast_w=8_000,
+                pv_b_forecast_w=2_800,
+                load_baseline_w=500,
+                ev1_connected=False,
+                ev2_connected=False,
+                allow_charge=True,
+                allow_discharge_export=False,
+                charge_acquisition_buy_czk_kwh=3.61,
+                is_daytime_pv_surplus_slot=True,
+                safety_soc_target_wh=6_250.0,
+            )
+            for i in range(8)
+        ]
+        battery = _battery(uc_wh=12_500.0, terminal_soc_value_factor=0.0)
+        battery.soc_max_wh = 12_500.0
+        battery.max_charge_power_w = 6_250
+        battery.max_discharge_power_w = 6_250
+        battery.degradation_cost_czk_kwh = 0.3
+        battery.planner_daytime_charge_target_enabled = True
+        hp = SimpleNamespace(
+            rated_heating_power_w=0,
+            tuv_min_temp_c=0.0,
+            tuv_target_temp_c=55.0,
+        )
+        grid = SimpleNamespace(
+            max_import_power_w=17_000,
+            max_export_power_w=16_000,
+            block_export_on_negative_sell=False,
+            deye_gen_microinverter_cutoff_enabled=True,
+        )
+        vehicles = [
+            SimpleNamespace(
+                max_charge_power_w=0,
+                battery_capacity_kwh=1.0,
+                default_target_soc_pct=80.0,
+            ),
+            SimpleNamespace(
+                max_charge_power_w=0,
+                battery_capacity_kwh=1.0,
+                default_target_soc_pct=80.0,
+            ),
+        ]
+        results, _ms, snap = solve_dispatch(
+            slots,
+            battery,
+            hp,
+            grid,
+            [None, None],
+            vehicles,
+            12_500.0,
+            55.0,
+            operating_mode="AUTO",
+        )
+        self.assertEqual(snap.get("planner_build_tag"), "2026-05-24-ba81-gen-cutoff-v6")
         self.assertEqual(len(results), len(slots))