update variable name

EnergySystem.py

@@ -9,9 +9,8 @@ class EnergySystem:
     # 优先使用PV供电给工厂 - 如果PV输出能满足工厂的需求，则直接供电，多余的电能用来给ESS充电。
     # PV不足时使用ESS补充 - 如果PV输出不足以满足工厂需求，首先从ESS获取所需电量。
     # 如果ESS也不足以满足需求，再从电网获取 - 当ESS中的存储电量也不足以补充时，再从电网购买剩余所需电量。
-    def simulate(self, data):
+    def simulate(self, data, time_interval):
         total_benefit = 0
-        time_interval = 10 / 60  # 时间间隔，单位小时（10分钟）
         for index, row in data.iterrows():
             time = row['time']
             sunlight_intensity = row['sunlight']
@@ -22,14 +21,18 @@ class EnergySystem:
             generated_pv_energy = generated_pv_power * time_interval * self.pv.loss  # 生成的能量，单位 kWh
 
             if generated_pv_energy >= factory_demand * time_interval:
+                # 剩余的能量(kwh) = pv生成的能量 - 工厂需求的功率 * 时间间隔 
                 surplus_energy = generated_pv_energy - factory_demand * time_interval
+                # 要充到ess中的能量 = min(剩余的能量,ess的充电功率*时间间隔(ess在时间间隔内能充进的电量),ess的容量-ess储存的能量(ess中能冲进去的电量))
                 charge_to_ess = min(surplus_energy, self.ess.charge_power * time_interval, self.ess.capacity - self.ess.storage)
                 self.ess.storage += charge_to_ess
                 surplus_after_ess = surplus_energy - charge_to_ess
+                # 如果还有电量盈余,且pv功率大于ess的充电功率+工厂的需求功率则准备卖电
                 if surplus_after_ess > 0 and generated_pv_power > self.ess.charge_power + factory_demand:
                     sold_to_grid = surplus_after_ess
                     sell_income = sold_to_grid * self.grid.sell_price
                     total_benefit += sell_income
+                # 节省的能量 = 工厂需求的能量 * 时间段
                 total_energy = factory_demand * time_interval
             else:
                 needed_from_ess = factory_demand * time_interval - generated_pv_energy

config.py

@@ -1,16 +1,16 @@
 import pandas as pd
 class pv_config:
-    def __init__(self, capacity, cost_per_kW, pv_lifetime, pv_loss):
+    def __init__(self, capacity, cost_per_kW, lifetime, loss):
         self.capacity = capacity
         self.cost_per_kW = cost_per_kW
-        self.lifetime = pv_lifetime
-        self.loss = pv_loss
+        self.lifetime = lifetime
+        self.loss = loss
 class ess_config:
-    def __init__(self, capacity, cost_per_kW, ess_lifetime, ess_loss, charge_power, discharge_power):
+    def __init__(self, capacity, cost_per_kW, lifetime, loss, charge_power, discharge_power):
         self.capacity = capacity
         self.cost_per_kW = cost_per_kW
-        self.lifetime = ess_lifetime
-        self.loss = ess_loss
+        self.lifetime = lifetime
+        self.loss = loss
         self.storage = 0
         self.charge_power = charge_power
         self.discharge_power = discharge_power

main.py

@@ -1 +1,21 @@
 import matplotlib
+import pandas as pd
+from EnergySystem import EnergySystem
+from config import pv_config, grid_config, ess_config
+
+
+if __name__ == '__main__':
+    price_schedule = pd.read_csv('price_schedule.csv')
+    data = pd.read_csv('simulation_data.csv')
+
+
+    pv = pv_config(capacity=100000,cost_per_kW=200,lifetime=25,loss=0.95)
+    ess = ess_config(capacity=100000,cost_per_kW=300,lifetime=25,loss=0.95,charge_power=100000,discharge_power=100000)
+    grid = grid_config(price_schedule=price_schedule, capacity=5000, grid_loss=0.95, sell_price=0.4)
+
+    energy_system = EnergySystem(pv_type=pv, ess_type=ess, grid_type=grid)
+
+    time_interval = 15 / 60
+    benefit = energy_system.simulate(data=data, time_interval=time_interval)
+
+    print(benefit)