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class_ems: AC / DC Charging

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class_optimize: Timing Bugs fixed
class_numpy_encoder: JSON Encoder with Numpy support
visualize: AC / DC / Discharge
test_class_ems_2: New Test for AC / DC charging decision
This commit is contained in:
Andreas
2024-10-16 15:40:04 +02:00
committed by Andreas
parent cafed7eaca
commit 87ec02a90e
8 changed files with 585 additions and 240 deletions
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32
src/akkudoktoreos/class_ems.py
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@@ -1,6 +1,6 @@
from datetime import datetime
from typing import Dict, List, Optional, Union
from akkudoktoreos.config import *
import numpy as np
@@ -23,12 +23,17 @@ class EnergieManagementSystem:
self.eauto = eauto
self.haushaltsgeraet = haushaltsgeraet
self.wechselrichter = wechselrichter
self.ac_charge_hours = np.full(prediction_hours,0)
self.dc_charge_hours = np.full(prediction_hours,1)
def set_akku_discharge_hours(self, ds: List[int]) -> None:
self.akku.set_discharge_per_hour(ds)
def set_akku_charge_hours(self, ds: List[int]) -> None:
self.akku.set_charge_per_hour(ds)
def set_akku_ac_charge_hours(self, ds: np.ndarray) -> None:
self.ac_charge_hours = ds
def set_akku_dc_charge_hours(self, ds: np.ndarray) -> None:
self.dc_charge_hours = ds
def set_eauto_charge_hours(self, ds: List[int]) -> None:
self.eauto.set_charge_per_hour(ds)
@@ -46,7 +51,12 @@ class EnergieManagementSystem:
return self.simuliere(start_stunde)
def simuliere(self, start_stunde: int) -> dict:
# Ensure arrays have the same length
'''
hour:
akku_soc_pro_stunde begin of the hour, initial hour state!
last_wh_pro_stunde integral of last hour (end state)
'''
lastkurve_wh = self.gesamtlast
assert (
len(lastkurve_wh) == len(self.pv_prognose_wh) == len(self.strompreis_euro_pro_wh)
@@ -91,16 +101,21 @@ class EnergieManagementSystem:
eauto_soc_pro_stunde[stunde_since_now] = self.eauto.ladezustand_in_prozent()
# AC PV Battery Charge
if self.akku.charge_array[stunde] > 0.0:
geladene_menge, verluste_wh = self.akku.energie_laden(None,stunde)
if self.ac_charge_hours[stunde] > 0.0:
self.akku.set_charge_allowed_for_hour(self.ac_charge_hours[stunde],stunde)
geladene_menge, verluste_wh = self.akku.energie_laden(None,stunde,relative_power=self.ac_charge_hours[stunde])
verbrauch += geladene_menge
verluste_wh_pro_stunde[stunde_since_now] += verluste_wh
verluste_wh_pro_stunde[stunde_since_now] += verluste_wh
# Process inverter logic
erzeugung = self.pv_prognose_wh[stunde]
self.akku.set_charge_allowed_for_hour(self.dc_charge_hours[stunde],stunde)
netzeinspeisung, netzbezug, verluste, eigenverbrauch = (
self.wechselrichter.energie_verarbeiten(erzeugung, verbrauch, stunde)
)
netzeinspeisung_wh_pro_stunde[stunde_since_now] = netzeinspeisung
netzbezug_wh_pro_stunde[stunde_since_now] = netzbezug
verluste_wh_pro_stunde[stunde_since_now] += verluste
@@ -136,4 +151,5 @@ class EnergieManagementSystem:
"Gesamt_Verluste": np.nansum(verluste_wh_pro_stunde),
"Haushaltsgeraet_wh_pro_stunde": haushaltsgeraet_wh_pro_stunde,
}
return out