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building-agents
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chenxiaodong 2024-06-19 19:38:31 +08:00
parent 63f145467b
commit 94d1f3c11c
4 changed files with 14 additions and 10 deletions
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7
.idea/csv-editor.xml
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@ -24,6 +24,13 @@
</Attribute> </Attribute>
</value> </value>
</entry> </entry>
<entry key="\data\station.csv">
<value>
<Attribute>
<option name="separator" value="," />
</Attribute>
</value>
</entry>
<entry key="\data\temper.csv"> <entry key="\data\temper.csv">
<value> <value>
<Attribute> <Attribute>

3
environment.py
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@ -153,14 +153,12 @@ class ESSEnv(gym.Env):
# format(self.day, self.current_time, current_obs, next_obs, reward, finish)) # format(self.day, self.current_time, current_obs, next_obs, reward, finish))
def _load_year_data(self): def _load_year_data(self):
# pv_df = pd.read_csv('data/pv.csv', sep=',')
price_df = pd.read_csv('data/prices.csv', sep=';') price_df = pd.read_csv('data/prices.csv', sep=';')
load_df = pd.read_csv('data/houseload.csv', sep=',') load_df = pd.read_csv('data/houseload.csv', sep=',')
irradiance_df = pd.read_csv('data/irradiance.csv', sep=',') irradiance_df = pd.read_csv('data/irradiance.csv', sep=',')
temperature_df = pd.read_csv('data/temper.csv', sep=',') temperature_df = pd.read_csv('data/temper.csv', sep=',')
wind_df = pd.read_csv('data/wind.csv', sep=',') wind_df = pd.read_csv('data/wind.csv', sep=',')
# pv = pv_df['pv'].to_numpy(dtype=float)
price = price_df['Price'].apply(lambda x: x.replace(',', '.')).to_numpy(dtype=float) price = price_df['Price'].apply(lambda x: x.replace(',', '.')).to_numpy(dtype=float)
load = load_df['houseload'].to_numpy(dtype=float) load = load_df['houseload'].to_numpy(dtype=float)
irradiance = irradiance_df['irradiance'].to_numpy(dtype=float) irradiance = irradiance_df['irradiance'].to_numpy(dtype=float)
@ -173,7 +171,6 @@ class ESSEnv(gym.Env):
transformed_element = transform_function(element) transformed_element = transform_function(element)
add_function(transformed_element) add_function(transformed_element)
# process_elements(pv, lambda x: x, self.data_manager.add_pv_element)
process_elements(price, lambda x: max(x / 10, 0.5), self.data_manager.add_price_element) process_elements(price, lambda x: max(x / 10, 0.5), self.data_manager.add_price_element)
process_elements(load, lambda x: x * 3, self.data_manager.add_load_element) process_elements(load, lambda x: x * 3, self.data_manager.add_load_element)
process_elements(irradiance, lambda x: x, self.data_manager.add_irradiance_element) process_elements(irradiance, lambda x: x, self.data_manager.add_irradiance_element)

6
module.py
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@ -78,9 +78,9 @@ class Solar:
self.oc_voltage = parameters['V_oc0'] self.oc_voltage = parameters['V_oc0']
self.s_resistance = parameters['R_s'] self.s_resistance = parameters['R_s']
self.sh_resistance = parameters['R_sh'] self.sh_resistance = parameters['R_sh']
self.temper_coefficient = parameters['k_v'] self.temper_coefficient = parameters['T_c']
self.opex_cofficient = parameters['k_o'] self.opex_cofficient = parameters['O_c']
self.refer_irradiance = parameters['G_ref'] self.refer_irradiance = parameters['I_ref']
self.refer_temperature = parameters['T_ref'] self.refer_temperature = parameters['T_ref']
def step(self, temperature, irradiance, action_voltage=0): def step(self, temperature, irradiance, action_voltage=0):

8
parameters.py
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@ -2,13 +2,13 @@ import numpy as np
solar_parameters = { solar_parameters = {
'I_sc0': 8.0, # 参考条件下的短路电流 (A) 'I_sc0': 8.0, # 参考条件下的短路电流 (A)
'V_b': 24, # 基准电压 'V_b': 25, # 基准电压
'V_oc0': 36.0, # 参考条件下的开路电压 (V) 'V_oc0': 36.0, # 参考条件下的开路电压 (V)
'R_s': 0.1, # 串联电阻 (Ω) 'R_s': 0.1, # 串联电阻 (Ω)
'R_sh': 100.0, # 并联电阻 (Ω) 'R_sh': 100.0, # 并联电阻 (Ω)
'k_v': -0.2, # 开路电压的温度系数 (V/°C) 'T_c': -0.2, # 开路电压的温度系数 (V/°C)
'k_o': 0.001, # 变动成本系数 (元/千瓦时) 'O_c': 0.001, # 变动成本系数 (元/千瓦时)
'G_ref': 1000, # 参考辐照度 (W/m²) 'I_ref': 1000, # 参考辐照度 (W/m²)
'T_ref': 25, # 参考温度 (°C) 'T_ref': 25, # 参考温度 (°C)
} }