Files
EOS/src/akkudoktoreos/devices/genetic/inverter.py
Andreas 7f2ac9098c feat: Direktvermarktung mit Batterie-Netzeinspeisung
Fügt einen Direktvermarktungs-Modus (feedintariff.direct_marketing_enabled)
hinzu, der den Börsenpreis als Einspeisevergütung nutzt und aktive
Batterie-Entladung ins Netz (battery_grid_export_allowed) sowie
DC-Charge-Bypass optimiert.

- FeedInTariffEnergyCharts-Provider (Börsen-Einspeisetarif inkl. Prognose)
- Inverter: DC/AC-Wirkungsgrade und Batterie-Grid-Export in process_energy
- Genetik: Export-/DC-Charge-Zustände, Restwert-Bewertung des Akkus
- Solution-Result: neues Feld Feed_in_tariff (verwendeter Tarif je Stunde)
- Tests für neue Provider, Solution und Simulation

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-12 09:01:33 +02:00

177 lines
8.4 KiB
Python

from typing import Optional
from loguru import logger
from akkudoktoreos.devices.genetic.battery import Battery
from akkudoktoreos.optimization.genetic.geneticdevices import InverterParameters
from akkudoktoreos.prediction.interpolator import get_eos_load_interpolator
class Inverter:
def __init__(
self,
parameters: InverterParameters,
battery: Optional[Battery] = None,
):
self.parameters: InverterParameters = parameters
self.battery: Optional[Battery] = battery
self._setup()
def _setup(self) -> None:
if self.battery and self.parameters.battery_id != self.battery.parameters.device_id:
error_msg = f"Battery ID mismatch - {self.parameters.battery_id} is configured; got {self.battery.parameters.device_id}."
logger.error(error_msg)
raise ValueError(error_msg)
self.self_consumption_predictor = get_eos_load_interpolator()
self.max_power_wh = (
self.parameters.max_power_wh
) # Maximum power that the inverter can handle
self.dc_to_ac_efficiency = self.parameters.dc_to_ac_efficiency
self.ac_to_dc_efficiency = self.parameters.ac_to_dc_efficiency
self.max_ac_charge_power_w = self.parameters.max_ac_charge_power_w
def _discharge_battery_to_ac(self, requested_ac_wh: float, hour: int) -> tuple[float, float]:
"""Discharge battery energy and convert it to AC energy."""
if not self.battery or requested_ac_wh <= 0.0:
return 0.0, 0.0
dc_request = requested_ac_wh / self.dc_to_ac_efficiency
battery_discharge_dc, discharge_losses = self.battery.discharge_energy(dc_request, hour)
battery_discharge_ac = battery_discharge_dc * self.dc_to_ac_efficiency
inverter_discharge_losses = battery_discharge_dc - battery_discharge_ac
return battery_discharge_ac, discharge_losses + inverter_discharge_losses
def process_energy(
self,
generation: float,
consumption: float,
hour: int,
allow_battery_grid_export: bool = False,
) -> tuple[float, float, float, float]:
losses = 0.0
grid_export = 0.0
grid_import = 0.0
self_consumption = 0.0
# Cache inverter DC→AC efficiency for discharge path
dc_to_ac_eff = self.dc_to_ac_efficiency
if generation >= consumption:
if consumption > self.max_power_wh:
# If consumption exceeds maximum inverter power
losses += generation - self.max_power_wh
remaining_power = self.max_power_wh - consumption
grid_import = -remaining_power # Negative indicates feeding into the grid
self_consumption = self.max_power_wh
else:
# Calculate scr using cached results per energy management/optimization run
scr = self.self_consumption_predictor.calculate_self_consumption(
consumption, generation
)
# Remaining power after consumption
remaining_power = (generation - consumption) * scr # EVQ
# Remaining load Self Consumption not perfect
remaining_load_evq = (generation - consumption) * (1.0 - scr)
from_battery_dc = 0.0
if remaining_load_evq > 0:
# Akku muss den Restverbrauch decken
if self.battery:
# Request more DC from battery to account for DC→AC conversion loss
dc_request = remaining_load_evq / dc_to_ac_eff
from_battery_dc, discharge_losses = self.battery.discharge_energy(
dc_request, hour
)
# Convert DC output to AC
from_battery_ac = from_battery_dc * dc_to_ac_eff
inverter_discharge_losses = from_battery_dc - from_battery_ac
remaining_load_evq -= from_battery_ac
losses += discharge_losses + inverter_discharge_losses
else:
from_battery_ac = 0.0
# Wenn der Akku den Restverbrauch nicht vollständig decken kann, wird der Rest ins Netz gezogen
if remaining_load_evq > 0:
grid_import += remaining_load_evq
remaining_load_evq = 0
else:
from_battery_ac = 0.0
if remaining_power > 0:
# Load battery with excess energy (DC path, no inverter conversion needed)
charge_losses = 0.0
if self.battery:
charged_energie, charge_losses = self.battery.charge_energy(
remaining_power, hour
)
remaining_surplus = remaining_power - (charged_energie + charge_losses)
else:
remaining_surplus = remaining_power
# Feed-in to the grid based on remaining capacity
if remaining_surplus > self.max_power_wh - consumption:
grid_export = self.max_power_wh - consumption
losses += remaining_surplus - grid_export
else:
grid_export = remaining_surplus
losses += charge_losses
self_consumption = (
consumption + from_battery_ac
) # Self-consumption is equal to the load
if allow_battery_grid_export and self.battery:
export_capacity = max(self.max_power_wh - consumption - grid_export, 0.0)
max_discharge_dc = getattr(self.battery, "max_charge_power_w", None)
if max_discharge_dc is not None:
remaining_battery_ac = max(
(max_discharge_dc - from_battery_dc) * dc_to_ac_eff, 0.0
)
export_capacity = min(export_capacity, remaining_battery_ac)
battery_export_ac, battery_export_losses = self._discharge_battery_to_ac(
export_capacity, hour
)
grid_export += battery_export_ac
losses += battery_export_losses
else:
# Case 2: Insufficient generation, cover shortfall
shortfall = consumption - generation
available_ac_power = max(self.max_power_wh - generation, 0)
# Discharge battery to cover shortfall, if possible
if self.battery:
# Need shortfall in AC, request more DC from battery for DC→AC conversion
ac_needed = min(shortfall, available_ac_power)
dc_request = ac_needed / dc_to_ac_eff
battery_discharge_dc, discharge_losses = self.battery.discharge_energy(
dc_request, hour
)
# Convert DC output to AC
battery_discharge_ac = battery_discharge_dc * dc_to_ac_eff
inverter_discharge_losses = battery_discharge_dc - battery_discharge_ac
losses += discharge_losses + inverter_discharge_losses
else:
battery_discharge_ac = 0
# Draw remaining required power from the grid (discharge_losses are already subtracted in the battery)
grid_import = shortfall - battery_discharge_ac
self_consumption = generation + battery_discharge_ac
if allow_battery_grid_export and self.battery and grid_import <= 0.0:
export_capacity = max(self.max_power_wh - consumption, 0.0)
max_discharge_dc = getattr(self.battery, "max_charge_power_w", None)
if max_discharge_dc is not None:
remaining_battery_ac = max(
(max_discharge_dc - battery_discharge_dc) * dc_to_ac_eff, 0.0
)
export_capacity = min(export_capacity, remaining_battery_ac)
battery_export_ac, battery_export_losses = self._discharge_battery_to_ac(
export_capacity, hour
)
grid_export += battery_export_ac
losses += battery_export_losses
return grid_export, grid_import, losses, self_consumption