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