from config import pv_config, ess_config, grid_config import pandas as pd class EnergySystem: def __init__(self, pv_type: pv_config, ess_type: ess_config, grid_type: grid_config): self.pv = pv_type self.ess = ess_type self.grid = grid_type self.day_generated = [] self.generated = 0 self.stored = 0 self.hour_stored = [] self.hour_stored_2 = [] self.afford = True self.cost = self.ess.get_cost() + self.pv.get_cost() self.overload_cnt = 0 self.spring_week_gen = [] self.summer_week_gen = [] self.autumn_week_gen = [] self.winter_week_gen = [] self.spring_week_soc = [] self.summer_week_soc = [] self.autumn_week_soc = [] self.winter_week_soc = [] self.granularity = 4 self.season_step = self.granularity * 24 * 7 * 12 self.season_start= self.granularity * 24 * 7 * 2 self.week_length = self.granularity * 24 * 7 self.unmet = [] def get_cost(self): return self.ess.get_cost()+self.pv.get_cost() # 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, time_interval): total_benefit = 0 for index, row in data.iterrows(): time = row['time'] sunlight_intensity = row['sunlight'] factory_demand = row['demand'] electricity_price = row['buy'] sell_price = row['sell'] # electricity_price = self.grid.get_price_for_time(time) if time == '00:00': self.day_generated.append(self.generated) self.generated = 0 if time.endswith('14:00'): soc = self.ess.storage / self.ess.capacity self.hour_stored.append(soc) if time.endswith('08:00'): soc = self.ess.storage / self.ess.capacity self.hour_stored_2.append(soc) generated_pv_power = self.pv.capacity * sunlight_intensity # 生成的功率，单位 kW generated_pv_energy = generated_pv_power * time_interval * self.pv.loss # 生成的能量，单位 kWh self.generated += generated_pv_energy # pv生成的能量如果比工厂的需求要大 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 * 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 saved_energy = factory_demand * time_interval # pv比工厂的需求小 else: # 从ess中需要的电量 = 工厂需要的电量 - pv中的电量 needed_from_ess = factory_demand * time_interval - generated_pv_energy # 如果ess中存的电量比需要的多 if self.ess.storage * self.ess.loss >= needed_from_ess: # 取出电量 if self.ess.discharge_power * time_interval * self.ess.loss < needed_from_ess: discharging_power = self.ess.discharge_power * time_interval else: discharging_power = needed_from_ess / self.ess.loss self.ess.storage -= discharging_power # 节省下来的能量 = pv的能量 + 放出来的能量 saved_energy = generated_pv_energy + discharging_power * self.ess.loss else: # 如果存的电量不够 # 需要把ess中的所有电量释放出来 if self.grid.capacity * time_interval + generated_pv_energy + self.ess.storage * self.ess.loss < factory_demand * time_interval: self.afford = False self.overload_cnt+=1 log = f"index: {index}, time: {time}, SoC:{self.ess.storage / self.ess.capacity}%, storage: {self.ess.storage}, pv_gen:{generated_pv_power}, power_demand: {factory_demand}, overload_cnt:{self.overload_cnt}, day:{int(index/96) + 1}" self.unmet.append((index,time,factory_demand,generated_pv_power)) # with open(f'plots/summary/ess-{self.ess.capacity}-pv-{self.pv.capacity}', 'a') as f: # f.write(log) # print(log) # self.unmet.append(log) saved_energy = generated_pv_energy + self.ess.storage * self.ess.loss self.ess.storage = 0 needed_from_grid = factory_demand * time_interval - saved_energy net_grid = min(self.grid.capacity * time_interval, needed_from_grid) * self.grid.loss # grid_energy += net_grid # total_energy += net_grid # print(total_energy) # 工厂需求量-总能量 # unmet_demand = max(0, factory_demand * time_interval - total_energy) # benefit = (total_energy - unmet_demand) * electricity_price benefit = (saved_energy) * electricity_price cost = net_grid * electricity_price # print(f"time:{time} benefit: {benefit}, cost: {cost}") total_benefit += benefit - cost # # spring week_start = self.season_start week_end = self.week_length + week_start if index in range(week_start, week_end): self.spring_week_gen.append(generated_pv_power) self.spring_week_soc.append(self.ess.storage / self.ess.capacity) # summer # week_start += self.season_step # week_end += self.season_step # if index in range(week_start, week_end): # self.summer_week_gen.append(generated_pv_power) # self.summer_week_soc.append(self.ess.storage / self.ess.capacity) # # autumn # week_start += self.season_step # week_end += self.season_step # if index in range(week_start, week_end): # self.autumn_week_gen.append(generated_pv_power) # self.autumn_week_soc.append(self.ess.storage / self.ess.capacity) # week_start += self.season_step # week_end += self.season_step # if index in range(week_start, week_end): # self.winter_week_gen.append(generated_pv_power) # self.winter_week_soc.append(self.ess.storage / self.ess.capacity) return total_benefit