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Bilanzen + grafische Ausgabe

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Bla Bla
2024-02-18 15:07:20 +01:00
parent 00c4a2d0db
commit de1143b984
4 changed files with 203 additions and 22 deletions
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21
test.py
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@@ -5,14 +5,18 @@ from modules.class_load import *
from modules.class_ems import *
from modules.class_pv_forecast import *
from modules.class_akku import *
from modules.class_strompreis import *
from pprint import pprint
import matplotlib.pyplot as plt
from modules.visualize import *
date = "2024-02-16"
akku_size = 100 # Wh
year_energy = 200*1000 #Wh
akku_size = 1000 # Wh
year_energy = 2000*1000 #Wh
einspeiseverguetung_cent_pro_wh = np.full(24, 7/1000.0)
akku = PVAkku(akku_size)
@@ -27,12 +31,21 @@ PVforecast = PVForecast(r'.\test_data\pvprognose.json')
pv_forecast = PVforecast.get_forecast_for_date(date)
pprint(pv_forecast.shape)
# Strompreise
filepath = r'.\test_data\strompreis.json' # Pfad zur JSON-Datei anpassen
price_forecast = HourlyElectricityPriceForecast(filepath)
specific_date_prices = price_forecast.get_prices_for_date(date)
ems = EnergieManagementSystem(akku, specific_date_load, pv_forecast)
# EMS / Stromzähler Bilanz
ems = EnergieManagementSystem(akku, specific_date_load, pv_forecast, specific_date_prices, einspeiseverguetung_cent_pro_wh)
o = ems.simuliere()
pprint(o)
visualisiere_ergebnisse(specific_date_load, pv_forecast, specific_date_prices, o)
# for data in forecast.get_forecast_data():
# print(data.get_date_time(), data.get_dc_power(), data.get_ac_power(), data.get_windspeed_10m(), data.get_temperature())for data in forecast.get_forecast_data():