fix

backend/services/planning_engine.py

@@ -42,8 +42,9 @@ GE_MIN_EXPORT_W      = 1.0
 # priorita: beze „ztráty na prodeji“ (sell >= 0) držet buffer, hluboký vývoz až těsně před záporným prodejem.
 DEFAULT_PLANNER_DISCHARGE_RELAX_PREWINDOW_SLOTS = 8
 # Měkká kotva: chceme být u planner floor už v posledním slotu před prvním sell < 0.
-# Penalizace je v Kč/Wh (např. 0.02 = 20 Kč/kWh).
-PRENEG_SELL_SOC_ANCHOR_SLACK_PENALTY_CZK_PER_WH = 0.02
+# Penalizace je v Kč/Wh (např. 0.20 = 200 Kč/kWh). Musí být dost velká, aby přebila
+# bezpečnostní SoC buffer + terminal shadow cenu a solver skutečně „dovylil“ před sell<0.
+PRENEG_SELL_SOC_ANCHOR_SLACK_PENALTY_CZK_PER_WH = 0.20
 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
@@ -462,6 +463,24 @@ def solve_dispatch(
     buy_extreme_thr = float(getattr(battery, "planner_extreme_buy_threshold_czk_kwh", -5.0))
     floor_pct_raw = getattr(battery, "planner_discharge_floor_percent", None)
     floor_pct = float(floor_pct_raw) if floor_pct_raw is not None else None
+    prewin = max(
+        0,
+        int(
+            getattr(
+                battery,
+                "planner_discharge_relax_prewindow_slots",
+                DEFAULT_PLANNER_DISCHARGE_RELAX_PREWINDOW_SLOTS,
+            )
+        ),
+    )
+    # Planner floor v Wh (nezávisle na lookahead extrémním buy) – použije se pro kotvu před sell<0.
+    abs_min_wh = max(float(battery.usable_capacity_wh) * 0.05, 1.0)
+    planner_floor_wh = (
+        min_soc_wh
+        if floor_pct is None
+        else max(abs_min_wh, float(floor_pct) / 100.0 * float(battery.usable_capacity_wh))
+    )
+    planner_floor_effective_wh = min(min_soc_wh, float(planner_floor_wh))
     soc_min_series = _soc_min_wh_series(
         slots,
         float(battery.usable_capacity_wh),
@@ -469,6 +488,16 @@ def solve_dispatch(
         buy_extreme_thr,
         floor_pct,
     )
+    # Pokud se blíží první sell<0, dovol hluboký planner floor i bez extrémního buy.
+    # Záměr: „dovylít“ baterii před záporným prodejem a pak už baterii v sell<0 okně nevybíjet.
+    if floor_pct is not None:
+        dist_to_neg_sell = _slots_until_sell_lt(slots, 0.0)
+        soc_min_series = [
+            min(float(sm), float(planner_floor_effective_wh))
+            if dist_to_neg_sell[i] <= prewin
+            else float(sm)
+            for i, sm in enumerate(soc_min_series)
+        ]
     current_soc_wh = float(current_soc_wh)
     current_soc_wh = max(soc_min_series[0], min(current_soc_wh, float(battery.soc_max_wh)))
     arb_base_wh = max(
@@ -481,17 +510,6 @@ def solve_dispatch(
         arb_floor_series = _dynamic_arb_floor_wh_series(
             slots, min_soc_wh, arb_base_wh, float(battery.usable_capacity_wh)
         )
-
-    prewin = max(
-        0,
-        int(
-            getattr(
-                battery,
-                "planner_discharge_relax_prewindow_slots",
-                DEFAULT_PLANNER_DISCHARGE_RELAX_PREWINDOW_SLOTS,
-            )
-        ),
-    )
     deferral_slots = _prewindow_deferral_slots(slots, buy_extreme_thr)
     soc_panel_min = _soc_panel_min_wh_series(
         soc_min_series,
@@ -585,7 +603,8 @@ def solve_dispatch(
 
     # --- Omezení ---
     if t_anchor is not None and soc_anchor_slack is not None:
-        target_floor_wh = float(soc_min_series[t_anchor])
+        # Cíl kotvy: skutečný planner floor (5 %), ne lookahead-driven soc_min_series.
+        target_floor_wh = float(planner_floor_effective_wh)
         prob += soc[t_anchor] <= target_floor_wh + soc_anchor_slack
 
     for t in range(T):

backend/tests/test_planning_dispatch_milp.py

@@ -607,6 +607,77 @@ class PlanningDispatchMilpTests(unittest.TestCase):
             msg="anchor should drive SoC close to planner floor before first negative sell",
         )
 
+    def test_anchor_uses_planner_floor_even_without_extreme_buy(self) -> None:
+        """
+        Regrese: pokud v horizontu není buy <= threshold (soc_min_series by se nerelaxovala),
+        kotva před sell<0 má stejně mířit na planner floor (5 %), ne na base min SoC.
+        """
+        base = datetime(2026, 4, 3, 6, 0, tzinfo=timezone.utc)
+        slots = [
+            PlanningSlot(
+                interval_start=base,
+                buy_price=3.0,
+                sell_price=1.0,
+                pv_a_forecast_w=0,
+                pv_b_forecast_w=0,
+                load_baseline_w=0,
+                ev1_connected=False,
+                ev2_connected=False,
+                allow_charge=True,
+                allow_discharge_export=True,
+            ),
+            PlanningSlot(
+                interval_start=base + timedelta(minutes=15),
+                buy_price=3.0,
+                sell_price=0.5,
+                pv_a_forecast_w=0,
+                pv_b_forecast_w=0,
+                load_baseline_w=0,
+                ev1_connected=False,
+                ev2_connected=False,
+                allow_charge=True,
+                allow_discharge_export=True,
+            ),
+            PlanningSlot(
+                interval_start=base + timedelta(minutes=30),
+                buy_price=3.0,
+                sell_price=-0.2,
+                pv_a_forecast_w=0,
+                pv_b_forecast_w=0,
+                load_baseline_w=0,
+                ev1_connected=False,
+                ev2_connected=False,
+                allow_charge=True,
+                allow_discharge_export=True,
+            ),
+        ]
+        battery = _battery(uc_wh=20_000.0, min_pct=12.0, arb_pct=20.0)
+        battery.planner_extreme_buy_threshold_czk_kwh = -2.0
+        battery.planner_discharge_floor_percent = 5.0
+        battery.max_charge_power_w = 50_000
+        battery.max_discharge_power_w = 50_000
+        hp = SimpleNamespace(rated_heating_power_w=0, tuv_min_temp_c=45.0, tuv_target_temp_c=55.0)
+        grid = SimpleNamespace(max_import_power_w=50_000, max_export_power_w=50_000)
+        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),
+        ]
+        soc0 = 0.9 * battery.usable_capacity_wh
+        results, _ms = solve_dispatch(
+            slots,
+            battery,
+            hp,
+            grid,
+            [None, None],
+            vehicles,
+            soc0,
+            50.0,
+            tuv_delta_stats=None,
+            operating_mode="AUTO",
+        )
+        # Slot index 1 je poslední před prvním sell<0 (index 2).
+        self.assertLessEqual(results[1].battery_soc_target, 6.0)
+
     def test_grid_import_soft_cap_penalizes_breaker_overdraw(self) -> None:
         """
         Soft cap: solver může nominálně překročit breaker, ale jen pokud se to vyplatí.