基于实时电价的电动汽车智能充电路径引导策略

Intelligent Charging Path Guidance Strategy for Electric Vehicles Based on Real-time Electricity Price

随着电动汽车占比逐步增加,大量电动汽车在空间、时间上的随机性使得其分布极不均衡,无序充电造成电动汽车用户充电费用较高、电网负荷峰谷差加大。为此,提出一种基于实时电价的电动汽车智能充电路径引导策略。基于电动汽车智能信息交互系统,以电动汽车行驶时间、排队时间、充电时间、充电费用以及能耗费用的综合成本最小为目标,通过实时电价更新策略引导电动汽车至最优快充站。算例仿真结果表明,所提策略能实现空间上的有序快充,改善区域负荷的均衡度,减少各个充电站的拥挤度,并且有效降低了电动汽车用户的综合成本。

With the gradual increase in the proportion of electric vehicles in the network,a large number of electric vehicles in space and time randomness makes their distribution extremely unbalanced,disorderly charging leads to high charging costs for electric vehicle users,and the increase in the peak-valley difference of grid load.Therefore,an intelligent charging path guidance strategy for electric vehicles based on real-time electricity price is proposed.Based on the intelligent information interaction system of electric vehicles,aiming at the minimum comprehensive cost of electric vehicle driving time,queuing time,charging time,charging cost and energy consumption cost,the real-time electricity price update strategy is used to guide electric vehicles to the optimal fast charging station.The simulation results show that the proposed strategy can realize orderly fast charging in space,improve the balance of regional load,reduce the congestion of each charging station,and effectively reduce the comprehensive cost of EV users.