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@@ -1420,39 +1420,41 @@ class ChargeAcquisitionArbitrageTests(unittest.TestCase):
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)
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self.assertLess(evening.battery_setpoint_w, -500)
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def test_morning_pv_export_when_sell_above_acquisition_and_later_grid_charge(self) -> None:
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"""Ráno sell>acquisition a sell<buy, později levné grid CHARGE — FVE→síť, ne do bat."""
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base = datetime(2026, 5, 22, 3, 0, tzinfo=timezone.utc)
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morning = PlanningSlot(
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def test_no_pv_export_at_low_sell_when_evening_peak_much_higher(self) -> None:
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"""Odpolední sell ~1,4 a večer ~5,5 — PV do baterie, ne FVE→síť za haléř."""
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base = datetime(2026, 5, 21, 12, 0, tzinfo=timezone.utc)
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afternoon = PlanningSlot(
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interval_start=base,
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buy_price=5.2,
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sell_price=3.4,
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pv_a_forecast_w=2000,
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buy_price=4.5,
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sell_price=1.4,
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pv_a_forecast_w=8000,
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pv_b_forecast_w=0,
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load_baseline_w=600,
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load_baseline_w=2500,
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ev1_connected=False,
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ev2_connected=False,
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allow_charge=False,
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allow_discharge_export=False,
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charge_acquisition_buy_czk_kwh=0.55,
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charge_acquisition_buy_czk_kwh=0.82,
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future_sell_opportunity_czk_kwh=5.5,
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)
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cheap = PlanningSlot(
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interval_start=base + timedelta(minutes=15),
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buy_price=0.55,
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interval_start=base + timedelta(hours=20),
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buy_price=0.5,
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sell_price=-0.2,
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pv_a_forecast_w=5000,
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pv_a_forecast_w=0,
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pv_b_forecast_w=0,
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load_baseline_w=1800,
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load_baseline_w=2000,
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ev1_connected=False,
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ev2_connected=False,
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allow_charge=True,
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allow_discharge_export=False,
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charge_acquisition_buy_czk_kwh=0.55,
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charge_acquisition_buy_czk_kwh=0.82,
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future_sell_opportunity_czk_kwh=5.5,
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)
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evening = PlanningSlot(
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interval_start=base + timedelta(minutes=30),
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peak = PlanningSlot(
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interval_start=base + timedelta(hours=7),
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buy_price=7.0,
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sell_price=5.0,
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sell_price=5.5,
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pv_a_forecast_w=0,
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pv_b_forecast_w=0,
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load_baseline_w=2500,
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@@ -1460,9 +1462,10 @@ class ChargeAcquisitionArbitrageTests(unittest.TestCase):
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ev2_connected=False,
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allow_charge=False,
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allow_discharge_export=True,
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charge_acquisition_buy_czk_kwh=0.55,
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charge_acquisition_buy_czk_kwh=0.82,
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future_sell_opportunity_czk_kwh=5.5,
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)
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slots = [morning, cheap, evening]
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slots = [afternoon, peak, cheap]
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battery = _battery(uc_wh=64_000.0, min_pct=12.0, arb_pct=20.0)
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battery.max_charge_power_w = 18_000
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battery.max_discharge_power_w = 18_000
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@@ -1472,7 +1475,7 @@ class ChargeAcquisitionArbitrageTests(unittest.TestCase):
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SimpleNamespace(max_charge_power_w=0, battery_capacity_kwh=1.0, default_target_soc_pct=80.0),
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SimpleNamespace(max_charge_power_w=0, battery_capacity_kwh=1.0, default_target_soc_pct=80.0),
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]
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soc0 = 0.25 * battery.usable_capacity_wh
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soc0 = 0.5 * battery.usable_capacity_wh
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results, _ms, _ = solve_dispatch(
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slots,
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battery,
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@@ -1484,14 +1487,17 @@ class ChargeAcquisitionArbitrageTests(unittest.TestCase):
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50.0,
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operating_mode="AUTO",
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)
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am = results[0]
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self.assertLess(
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am.grid_setpoint_w,
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-100,
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"morning PV surplus should export when later cheap grid charge exists",
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pm = results[0]
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self.assertGreaterEqual(
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pm.grid_setpoint_w,
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-50,
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"low sell with high evening peak: keep PV for battery, not grid dump",
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)
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self.assertGreater(
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pm.battery_setpoint_w,
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500,
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"PV surplus should charge battery ahead of evening export",
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)
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self.assertIn(am.export_mode, ("PV_SURPLUS", "BATTERY_SELL"))
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self.assertLessEqual(am.battery_setpoint_w, 100)
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if __name__ == "__main__":
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