iicd/simple-pv-simulator
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update generate data code

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Hanzhang Ma
2024-05-13 16:26:24 +02:00
parent 33871fba77
commit ad9b5e6a19
2 changed files with 21475 additions and 21478 deletions
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42933
combined_data.csv
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20
read_data.py
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@@ -2,20 +2,15 @@ import pandas as pd
import numpy as np import numpy as np
import csv import csv
sunlight_file_name = 'lightintensity.xlsx' pv_yield_file_name = 'read_data/Riyahd.csv'
factory_demand_file_name = 'factory_power1.xlsx' factory_demand_file_name = 'factory_power1.xlsx'
electricity_price_data = 'electricity_price_data.csv' electricity_price_data = 'electricity_price_data.csv'
electricity_price_data_sell = 'electricity_price_data_sell.csv' electricity_price_data_sell = 'electricity_price_data_sell.csv'
df_sunlight = pd.read_excel(sunlight_file_name, header=None, names=['SunlightIntensity']) pv_df = pd.read_csv(pv_yield_file_name, index_col='Time', usecols=['Time', 'PV yield[kW/kWp]'])
pv_df.index = pd.to_datetime(pv_df.index)
start_date = '2023-01-01 00:00:00' # 根据数据的实际开始日期调整
hours = pd.date_range(start=start_date, periods=len(df_sunlight), freq='h')
df_sunlight['Time'] = hours
df_sunlight.set_index('Time', inplace=True)
df_sunlight_resampled = df_sunlight.resample('15min').interpolate()
start_date = '2023-01-01'
df_power = pd.read_excel(factory_demand_file_name, df_power = pd.read_excel(factory_demand_file_name,
header=None, header=None,
names=['FactoryPower'], names=['FactoryPower'],
@@ -25,7 +20,7 @@ df_power['Time'] = times
df_power.set_index('Time',inplace=True) df_power.set_index('Time',inplace=True)
print(df_power.head()) print(df_power.head())
df_combined = df_sunlight_resampled.join(df_power) df_combined = pv_df.join(df_power)
@@ -44,14 +39,13 @@ df_combined3 = df_combined2.join(sell_df)
with open('combined_data.csv', 'w', newline='') as file: with open('combined_data.csv', 'w', newline='') as file:
writer = csv.writer(file) writer = csv.writer(file)
writer.writerow(['time', 'sunlight', 'demand','buy', 'sell']) writer.writerow(['time', 'PV yield[kW/kWp]', 'demand','buy', 'sell'])
cnt = 0 cnt = 0
for index, row in df_combined3.iterrows(): for index, row in df_combined3.iterrows():
time_formatted = index.strftime('%H:%M') time_formatted = index.strftime('%H:%M')
writer.writerow([time_formatted, row['SunlightIntensity'], row['FactoryPower'],row['ElectricityBuy'], row['ElectricitySell']]) writer.writerow([time_formatted, row['PV yield[kW/kWp]'], row['FactoryPower'],row['ElectricityBuy'], row['ElectricitySell']])
print('The file is written to combined_data.csv') print('The file is written to combined_data.csv')
# combined_data.to_csv('updated_simulation_with_prices.csv', index=False)
print("Simulation data with electricity prices has been updated and saved.") print("Simulation data with electricity prices has been updated and saved.")