549 lines
19 KiB
Python
549 lines
19 KiB
Python
"""Pre-selection nabíjecích a exportních slotů – referenční Python.
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Logika je v DB: ems.fn_load_planning_slots_full. Kopie algoritmu pro unit testy bez PG.
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Charge mask:
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B) Grid ze sítě první: AM/PM 50/50 Wh, buy≤min(buy v pásmu)+band, i s FVE.
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A) PV-surplus: store_score DESC, doplní zbytek po vrstvě B.
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Discharge-export mask:
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ref_buy = min(buy) celého horizontu.
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Top sloty dle sell_price desc kde sell > ref_buy + degradation.
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"""
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from __future__ import annotations
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import unittest
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from datetime import date, datetime, timezone, timedelta
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from types import SimpleNamespace
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from zoneinfo import ZoneInfo
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from services.planning_engine import INTERVAL_H, PlanningSlot
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_PRAGUE = ZoneInfo("Europe/Prague")
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_LOOKAHEAD_SLOTS = 4
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_BUY_LOOKAHEAD_EPS = 0.05
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_BUY_CHARGE_BAND = 0.40
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_MAX_GRID_CHARGE_CAP = 24
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def _prague_date(s: PlanningSlot) -> date:
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return s.interval_start.astimezone(_PRAGUE).date()
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def _export_window_start(slots: list[PlanningSlot], degrad: float) -> datetime | None:
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"""Kopie R__063: sell > min(buy) téhož kalendářního dne (Prague) + degrad."""
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result: datetime | None = None
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for s in slots:
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day = _prague_date(s)
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day_min = min(
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float(x.buy_price) for x in slots if _prague_date(x) == day
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)
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if float(s.sell_price) > day_min + degrad:
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if result is None or s.interval_start < result:
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result = s.interval_start
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return result
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def _future_sell(slots: list[PlanningSlot], t: int) -> float:
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tail = [float(slots[i].sell_price) for i in range(t + 1, len(slots))]
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return max(tail) if tail else float(slots[t].sell_price)
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def _buy_min_next_n(
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slots: list[PlanningSlot],
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t: int,
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n: int = _LOOKAHEAD_SLOTS,
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*,
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export_window_start: datetime | None = None,
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) -> float | None:
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tail = [
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float(slots[i].buy_price)
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for i in range(t + 1, min(t + 1 + n, len(slots)))
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if export_window_start is None or slots[i].interval_start < export_window_start
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]
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return min(tail) if tail else None
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def _store_score(slots: list[PlanningSlot], t: int) -> float:
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s = slots[t]
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buy = float(s.buy_price)
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sell = float(s.sell_price)
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fso = _future_sell(slots, t)
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return fso - sell - max(0.0, buy - sell)
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def _select_charge_slots(
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slots: list[PlanningSlot],
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battery: SimpleNamespace,
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current_soc_wh: float,
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*,
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purchase_pricing_mode: str = "spot",
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) -> set[int]:
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"""Kopie logiky z ems.fn_load_planning_slots_full (charge mask)."""
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charge_buf = float(getattr(battery, "charge_slot_buffer", 0) or 0)
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if charge_buf <= 0:
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return set(range(len(slots)))
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energy_to_fill = float(battery.soc_max_wh) - float(current_soc_wh)
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if energy_to_fill <= 0:
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return set(range(len(slots)))
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reserve_wh = float(getattr(battery, "reserve_soc_wh", 0) or 0)
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degrad = float(getattr(battery, "degradation_cost_czk_kwh", 0.15) or 0.15)
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ref_buy_am = min(
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(float(s.buy_price) for s in slots if _prague_hour(s) < 12),
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default=min(float(s.buy_price) for s in slots),
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)
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ref_buy_pm = min(
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(float(s.buy_price) for s in slots if _prague_hour(s) >= 12),
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default=min(float(s.buy_price) for s in slots),
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)
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ref_buy_global = min(float(s.buy_price) for s in slots)
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export_window_start = _export_window_start(slots, degrad)
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plan_day = _prague_date(slots[0])
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eta = float(getattr(battery, "charge_efficiency", 1.0) or 1.0)
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max_p_w = float(getattr(battery, "max_charge_power_w", 0.0) or 0.0)
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per_slot_full_wh = max_p_w * eta * INTERVAL_H
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if current_soc_wh >= reserve_wh:
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charge_target_wh = max(energy_to_fill, 0.0)
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else:
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charge_target_wh = min(
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max(energy_to_fill, 0.0) * charge_buf,
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max(energy_to_fill, 0.0),
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)
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n_am = sum(1 for s in slots if _prague_hour(s) < 12)
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n_pm = len(slots) - n_am
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if n_am <= 0:
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chg_am = 0.0
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chg_pm = charge_target_wh
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elif n_pm <= 0:
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chg_am = charge_target_wh
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chg_pm = 0.0
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else:
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chg_am = charge_target_wh / 2.0
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chg_pm = charge_target_wh - chg_am
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selected: set[int] = set()
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grid_filled_wh = 0.0
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cap_am = (
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max(1, min(_MAX_GRID_CHARGE_CAP, int(chg_am / per_slot_full_wh) + 1))
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if per_slot_full_wh > 0
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else 6
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)
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cap_pm = (
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max(1, min(_MAX_GRID_CHARGE_CAP, int(chg_pm / per_slot_full_wh) + 1))
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if per_slot_full_wh > 0
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else 6
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)
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def _grid_b_ok(t: int, ref_buy_seg: float) -> bool:
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s = slots[t]
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buy = float(s.buy_price)
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if buy > ref_buy_seg + _BUY_CHARGE_BAND:
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return False
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nxt = _buy_min_next_n(slots, t, export_window_start=export_window_start)
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if nxt is not None and buy > nxt + _BUY_LOOKAHEAD_EPS:
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return False
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return True
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def _grid_sort_key(t: int, pred: bool, price: float) -> tuple[int, int, int, float, int]:
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today_first = 0 if _prague_date(slots[t]) == plan_day else 1
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before_export = (
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0
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if export_window_start is not None
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and slots[t].interval_start < export_window_start
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else 1
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)
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return (today_first, before_export, int(pred), price, t)
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if purchase_pricing_mode != "fixed":
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am_candidates = [
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(t, getattr(slots[t], "is_predicted_price", False), float(slots[t].buy_price))
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for t in range(len(slots))
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if _grid_b_ok(t, ref_buy_am) and _prague_hour(slots[t]) < 12
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]
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am_candidates.sort(key=lambda x: _grid_sort_key(x[0], x[1], x[2]))
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cum = 0.0
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grid_am = 0
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for t, _pred, _price in am_candidates:
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if cum >= chg_am or per_slot_full_wh <= 0 or grid_am >= cap_am:
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break
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selected.add(t)
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cum += per_slot_full_wh
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grid_am += 1
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grid_filled_wh += cum
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pm_candidates = [
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(t, getattr(slots[t], "is_predicted_price", False), float(slots[t].buy_price))
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for t in range(len(slots))
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if _grid_b_ok(t, ref_buy_pm) and _prague_hour(slots[t]) >= 12
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]
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pm_candidates.sort(key=lambda x: _grid_sort_key(x[0], x[1], x[2]))
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cum = 0.0
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grid_pm = 0
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for t, _pred, _price in pm_candidates:
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if cum >= chg_pm or per_slot_full_wh <= 0 or grid_pm >= cap_pm:
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break
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selected.add(t)
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cum += per_slot_full_wh
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grid_pm += 1
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grid_filled_wh += cum
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pv_layer_cap = max(charge_target_wh - grid_filled_wh, 0.0)
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pv_candidates: list[tuple[int, float, float]] = []
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for t, s in enumerate(slots):
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pv_surplus_w = max(0, s.pv_a_forecast_w + s.pv_b_forecast_w - s.load_baseline_w)
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if pv_surplus_w > 0 and float(s.sell_price) >= float(s.buy_price) - degrad:
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pv_candidates.append((t, _store_score(slots, t), float(pv_surplus_w)))
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pv_candidates.sort(key=lambda x: (-x[1], x[0]))
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cum = 0.0
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for t, _score, pv_surplus_w in pv_candidates:
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if cum >= pv_layer_cap:
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break
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selected.add(t)
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cum += min(pv_surplus_w, max_p_w) * eta * INTERVAL_H
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return selected
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def _select_discharge_export_slots(
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slots: list[PlanningSlot],
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battery: SimpleNamespace,
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current_soc_wh: float,
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charge_slots: set[int] | None = None,
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*,
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purchase_pricing_mode: str = "spot",
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) -> set[int]:
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"""Kopie logiky z ems.fn_load_planning_slots_full (discharge-export mask)."""
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discharge_buf = float(getattr(battery, "discharge_slot_buffer", 0) or 0)
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if discharge_buf <= 0:
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return set(range(len(slots)))
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min_soc_wh = float(getattr(battery, "min_soc_wh", 0) or 0)
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soc_max_wh = float(battery.soc_max_wh)
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exportable_wh = soc_max_wh - min_soc_wh
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if exportable_wh <= 0:
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return set()
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degrad = float(getattr(battery, "degradation_cost_czk_kwh", 0.15) or 0.15)
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eta = float(getattr(battery, "discharge_efficiency", 1.0) or 1.0)
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max_p_w = float(getattr(battery, "max_discharge_power_w", 0.0) or 0.0)
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per_slot_wh = max_p_w * eta * INTERVAL_H
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discharge_target_wh = exportable_wh * discharge_buf
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ref_buy = min(float(s.buy_price) for s in slots)
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if purchase_pricing_mode == "fixed":
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sell_min = degrad
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else:
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sell_min = ref_buy + degrad
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candidates = [
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(t, float(slots[t].sell_price))
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for t in range(len(slots))
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if float(slots[t].sell_price) > sell_min
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]
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candidates.sort(key=lambda x: (-x[1], -x[0]))
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selected: set[int] = set()
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cum = 0.0
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for t, _sell in candidates:
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if cum >= discharge_target_wh or per_slot_wh <= 0:
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break
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selected.add(t)
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cum += per_slot_wh
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return selected
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def _prague_hour(s: PlanningSlot) -> int:
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dt = s.interval_start
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if dt.tzinfo is None:
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dt = dt.replace(tzinfo=timezone.utc)
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return dt.astimezone(_PRAGUE).hour
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def _slot(
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*,
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buy: float,
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sell: float = 1.0,
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pv: int = 0,
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load: int = 2_000,
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hour_utc: int = 12,
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predicted: bool = False,
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interval_start: datetime | None = None,
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) -> PlanningSlot:
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if interval_start is None:
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interval_start = datetime(2026, 5, 19, hour_utc, 0, tzinfo=timezone.utc)
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return PlanningSlot(
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interval_start=interval_start,
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buy_price=buy,
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sell_price=sell,
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pv_a_forecast_w=0,
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pv_b_forecast_w=pv,
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load_baseline_w=load,
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ev1_connected=False,
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ev2_connected=False,
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is_predicted_price=predicted,
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)
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def _battery(
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*,
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charge_buf: float = 1.3,
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discharge_buf: float = 1.5,
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uc_wh: float = 64_000.0,
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soc_max_pct: float = 95.0,
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min_soc_pct: float = 10.0,
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reserve_soc_pct: float = 20.0,
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max_charge_w: float = 18_000.0,
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max_discharge_w: float = 18_000.0,
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charge_eff: float = 0.95,
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discharge_eff: float = 0.95,
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degrad: float = 0.15,
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) -> SimpleNamespace:
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uc = uc_wh
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return SimpleNamespace(
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usable_capacity_wh=uc,
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min_soc_wh=min_soc_pct / 100.0 * uc,
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reserve_soc_wh=reserve_soc_pct / 100.0 * uc,
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soc_max_wh=soc_max_pct / 100.0 * uc,
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max_charge_power_w=max_charge_w,
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max_discharge_power_w=max_discharge_w,
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charge_efficiency=charge_eff,
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discharge_efficiency=discharge_eff,
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charge_slot_buffer=charge_buf,
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discharge_slot_buffer=discharge_buf,
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degradation_cost_czk_kwh=degrad,
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)
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class SelectChargeSlotsTests(unittest.TestCase):
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def test_buffer_zero_returns_all_slots(self) -> None:
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slots = [_slot(buy=3.0) for _ in range(4)]
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battery = _battery(charge_buf=0.0)
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out = _select_charge_slots(slots, battery, current_soc_wh=0.0)
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self.assertEqual(out, set(range(4)))
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def test_returns_all_when_battery_is_full(self) -> None:
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slots = [_slot(buy=0.1) for _ in range(3)]
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battery = _battery()
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out = _select_charge_slots(
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slots, battery, current_soc_wh=battery.soc_max_wh + 1.0
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)
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self.assertEqual(out, set(range(3)))
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def test_pv_surplus_high_store_score_selected(self) -> None:
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"""Slot s vyšším store_score (lepší uložení vs export) má přednost."""
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slots = [
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_slot(buy=1.5, sell=0.01, pv=8_000, load=2_000, hour_utc=8),
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_slot(buy=1.5, sell=0.50, pv=8_000, load=2_000, hour_utc=9),
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_slot(buy=0.5, sell=0.40, pv=8_000, load=2_000, hour_utc=10),
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]
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battery = _battery(
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charge_buf=1.3, uc_wh=1_000.0, soc_max_pct=100.0, max_charge_w=6_000.0
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)
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out = _select_charge_slots(slots, battery, current_soc_wh=0.0)
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self.assertIn(2, out, "Slot s lepší marží (nižší buy) má být vybrán")
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self.assertNotIn(0, out, "Ztrátový sell≪buy slot nemá grid charge z masky A")
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def test_non_pv_slots_selected_with_am_pm_budget(self) -> None:
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"""Levný PM slot; AM s dražším buy než min v lookahead může být vynechán."""
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slots = [
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_slot(buy=0.5, hour_utc=4),
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_slot(buy=3.0, hour_utc=5),
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_slot(buy=0.4, hour_utc=14),
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_slot(buy=9.9, hour_utc=15),
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]
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battery = _battery(
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charge_buf=1.3, uc_wh=5_000.0, soc_max_pct=100.0, max_charge_w=18_000.0
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)
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out = _select_charge_slots(slots, battery, current_soc_wh=0.0)
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self.assertIn(2, out, "Nejlevnější buy v horizontu (PM) musí být vybrán")
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def test_pm_grid_prefers_today_before_export_over_tomorrow_cheaper(self) -> None:
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"""Dnes PM levné před večerním exportem má prioritu před zítřejším min(buy)."""
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base = datetime(2026, 5, 21, 10, 0, tzinfo=timezone.utc)
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slots = [
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_slot(buy=0.72, sell=-0.1, pv=500, load=3000, interval_start=base),
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_slot(buy=0.68, sell=-0.15, pv=500, load=3000, interval_start=base + timedelta(minutes=15)),
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_slot(
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buy=5.5,
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sell=3.8,
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pv=0,
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load=2500,
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interval_start=base + timedelta(hours=7, minutes=30),
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),
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_slot(
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buy=0.50,
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sell=-0.3,
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pv=2000,
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load=5000,
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interval_start=base + timedelta(hours=26),
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),
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]
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battery = _battery(uc_wh=64_000.0)
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out = _select_charge_slots(slots, battery, current_soc_wh=0.46 * battery.usable_capacity_wh)
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self.assertIn(0, out)
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self.assertIn(1, out)
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self.assertEqual(
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min(out),
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0,
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"Před exportním oknem musí být vybrány dnešní levné PM sloty dřív než zítřejší min(buy)",
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)
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def test_cheap_pm_with_pv_surplus_gets_grid_charge(self) -> None:
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"""Regrese home-01: levné PM VT (~0,8) i s FVE musí projít grid maskou B."""
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base = datetime(2026, 5, 21, 10, 0, tzinfo=timezone.utc)
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slots = [
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_slot(
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buy=0.80,
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sell=-0.08,
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pv=2_500,
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load=3_400,
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interval_start=base,
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),
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_slot(
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buy=0.72,
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sell=-0.13,
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pv=500,
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load=3_400,
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interval_start=base + timedelta(minutes=15),
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),
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_slot(
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buy=2.50,
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sell=1.40,
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pv=2_000,
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load=3_800,
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interval_start=base + timedelta(hours=5),
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),
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_slot(
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buy=5.50,
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sell=3.80,
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pv=100,
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load=2_900,
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interval_start=base + timedelta(hours=9),
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),
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]
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battery = _battery(uc_wh=64_000.0)
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soc = 0.46 * battery.usable_capacity_wh
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out = _select_charge_slots(slots, battery, current_soc_wh=soc)
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self.assertIn(1, out, "Levnější PM slot (lookahead) má allow_charge i s FVE")
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self.assertNotIn(
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2,
|
||
out,
|
||
"Drahý odpolední slot nemá být v grid maskě B jen kvůli globálnímu min",
|
||
)
|
||
|
||
def test_vt_before_nt_skips_expensive_pm_slot(self) -> None:
|
||
"""Regrese home-01: 12:45 VT drahý, za 15 min NT levný → PM grid charge ne v 12:45."""
|
||
base = datetime(2026, 5, 21, 10, 45, tzinfo=timezone.utc)
|
||
slots = [
|
||
_slot(
|
||
buy=1.49,
|
||
sell=-0.04,
|
||
pv=0,
|
||
load=3_500,
|
||
interval_start=base,
|
||
),
|
||
_slot(
|
||
buy=0.86,
|
||
sell=0.01,
|
||
pv=0,
|
||
load=3_500,
|
||
interval_start=base + timedelta(minutes=15),
|
||
),
|
||
_slot(
|
||
buy=0.86,
|
||
sell=0.01,
|
||
pv=0,
|
||
load=3_500,
|
||
interval_start=base + timedelta(minutes=30),
|
||
),
|
||
]
|
||
battery = _battery(uc_wh=64_000.0)
|
||
soc = 0.31 * battery.usable_capacity_wh
|
||
out = _select_charge_slots(slots, battery, current_soc_wh=soc)
|
||
self.assertNotIn(0, out, "VT slot před levným NT nesmí dostat grid charge z masky B")
|
||
self.assertIn(1, out, "NT slot může být vybrán")
|
||
|
||
def test_ote_slots_prioritized_over_predicted(self) -> None:
|
||
"""Při stejné ceně má OTE (is_predicted=false) přednost před predikovaným."""
|
||
slots = [
|
||
_slot(buy=2.00, sell=2.0, hour_utc=13, predicted=False),
|
||
_slot(buy=2.00, sell=2.0, hour_utc=13, predicted=True),
|
||
]
|
||
battery = _battery(
|
||
charge_buf=1.3, uc_wh=3_000.0, soc_max_pct=100.0, max_charge_w=18_000.0
|
||
)
|
||
out = _select_charge_slots(slots, battery, current_soc_wh=0.0)
|
||
self.assertIn(0, out)
|
||
self.assertNotIn(1, out)
|
||
|
||
|
||
class SelectDischargeExportSlotsTests(unittest.TestCase):
|
||
def test_evening_sell_allowed_when_cheaper_than_ref_charge_buy(self) -> None:
|
||
slots = [
|
||
_slot(buy=0.50, sell=-0.30, hour_utc=6),
|
||
_slot(buy=0.51, sell=-0.29, hour_utc=7),
|
||
_slot(buy=5.60, sell=3.30, hour_utc=16),
|
||
_slot(buy=5.98, sell=3.37, hour_utc=17),
|
||
]
|
||
battery = _battery(uc_wh=64_000.0)
|
||
charge = _select_charge_slots(slots, battery, current_soc_wh=0.2 * battery.usable_capacity_wh)
|
||
discharge = _select_discharge_export_slots(
|
||
slots, battery, current_soc_wh=0.2 * battery.usable_capacity_wh, charge_slots=charge
|
||
)
|
||
self.assertIn(2, discharge)
|
||
self.assertIn(3, discharge)
|
||
|
||
def test_export_excluded_when_sell_below_ref_buy_plus_degradation(self) -> None:
|
||
slots = [
|
||
_slot(buy=0.40, sell=0.10, hour_utc=8),
|
||
_slot(buy=4.00, sell=0.50, hour_utc=18),
|
||
]
|
||
battery = _battery(uc_wh=10_000.0, discharge_buf=2.0)
|
||
discharge = _select_discharge_export_slots(
|
||
slots, battery, current_soc_wh=0.0
|
||
)
|
||
self.assertNotIn(1, discharge)
|
||
|
||
|
||
class FixedPurchasePricingTests(unittest.TestCase):
|
||
def test_fixed_skips_non_pv_grid_charge_slots(self) -> None:
|
||
slots = [
|
||
_slot(buy=6.35, sell=2.0, hour_utc=14, load=500),
|
||
_slot(buy=6.35, sell=3.5, hour_utc=18, load=500),
|
||
]
|
||
battery = _battery(charge_buf=1.3, uc_wh=12_500.0)
|
||
out = _select_charge_slots(
|
||
slots,
|
||
battery,
|
||
current_soc_wh=0.4 * battery.usable_capacity_wh,
|
||
purchase_pricing_mode="fixed",
|
||
)
|
||
self.assertEqual(out, set())
|
||
|
||
def test_fixed_allows_discharge_on_high_sell(self) -> None:
|
||
slots = [
|
||
_slot(buy=6.35, sell=1.0, hour_utc=10),
|
||
_slot(buy=6.35, sell=3.8, hour_utc=18),
|
||
_slot(buy=6.35, sell=3.2, hour_utc=19),
|
||
]
|
||
battery = _battery(uc_wh=12_500.0, discharge_buf=2.0, degrad=0.3)
|
||
discharge = _select_discharge_export_slots(
|
||
slots,
|
||
battery,
|
||
current_soc_wh=0.5 * battery.usable_capacity_wh,
|
||
purchase_pricing_mode="fixed",
|
||
)
|
||
self.assertIn(1, discharge)
|
||
self.assertIn(2, discharge)
|
||
|
||
|
||
if __name__ == "__main__":
|
||
unittest.main()
|