Mirrors/EOS
1
0
Fork 0
mirror of https://github.com/Akkudoktor-EOS/EOS.git synced 2025-12-13 15:26:17 +00:00
Code Issues Actions 1 Packages Projects Releases Wiki Activity

PV & Temperatur Prognose als Array an den Flask Server übergeben, so

Browse Source 
kann man seine eigenen Prognose nutzen / Entkoppelung
This commit is contained in:
Bla Bla
2024-07-30 14:01:18 +02:00
parent 522e628049
commit f57c9e5c53
4 changed files with 45 additions and 22 deletions
Download Patch File Download Diff File Expand all files Collapse all files

19
modules/class_optimize.py
View File

@@ -177,8 +177,6 @@ class optimization_problem:
einspeiseverguetung_euro_pro_wh = np.full(self.prediction_hours, parameter["einspeiseverguetung_euro_pro_wh"]) #= # € / Wh 7/(1000.0*100.0)
pv_forecast_url = parameter['pv_forecast_url'] #"https://api.akkudoktor.net/forecast?lat=50.8588&lon=7.3747&power=5000&azimuth=-10&tilt=7&powerInvertor=10000&horizont=20,27,22,20&power=4800&azimuth=-90&tilt=7&powerInvertor=10000&horizont=30,30,30,50&power=1400&azimuth=-40&tilt=60&powerInvertor=2000&horizont=60,30,0,30&power=1600&azimuth=5&tilt=45&powerInvertor=1400&horizont=45,25,30,60&past_days=5&cellCoEff=-0.36&inverterEfficiency=0.8&albedo=0.25&timezone=Europe%2FBerlin&hourly=relativehumidity_2m%2Cwindspeed_10m"
akku = PVAkku(kapazitaet_wh=akku_size,hours=self.prediction_hours,start_soc_prozent=parameter["pv_soc"], max_ladeleistung_w=5000)
discharge_array = np.full(self.prediction_hours,1) #np.array([1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0]) #
laden_moeglich = np.full(self.prediction_hours,1) # np.array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0])
@@ -211,16 +209,13 @@ class optimization_problem:
# PV Forecast
###############
#PVforecast = PVForecast(filepath=os.path.join(r'test_data', r'pvprognose.json'))
PVforecast = PVForecast(prediction_hours = self.prediction_hours, url=pv_forecast_url)
#print("PVPOWER",parameter['pvpowernow'])
if isfloat(parameter['pvpowernow']):
PVforecast.update_ac_power_measurement(date_time=datetime.now(), ac_power_measurement=float(parameter['pvpowernow']))
#PVforecast.print_ac_power_and_measurement()
pv_forecast = PVforecast.get_pv_forecast_for_date_range(date_now,date) #get_forecast_for_date(date)
temperature_forecast = PVforecast.get_temperature_for_date_range(date_now,date)
# PVforecast = PVForecast(prediction_hours = self.prediction_hours, url=pv_forecast_url)
# #print("PVPOWER",parameter['pvpowernow'])
# if isfloat(parameter['pvpowernow']):
# PVforecast.update_ac_power_measurement(date_time=datetime.now(), ac_power_measurement=float(parameter['pvpowernow']))
# #PVforecast.print_ac_power_and_measurement()
pv_forecast = parameter['pv_forecast'] #PVforecast.get_pv_forecast_for_date_range(date_now,date) #get_forecast_for_date(date)
temperature_forecast = parameter['temperature_forecast'] #PVforecast.get_temperature_for_date_range(date_now,date)
###############