摘要
随着电动汽车的迅速发展,其在用电高峰期的充电需求给配电网带来了巨大的供电压力。现有研究中,虽然对电动汽车进行有序充放电调度能够有效缓解配电网的供电压力,但大多数电动汽车充电站代理商并未考虑不同电动汽车用户之间的需求差异性,无差别对待电动汽车的充放电调度,只会徒增电网侧的供电压力。为解决此类问题,文中首先在合作博弈的框架下,考虑电动汽车代理商与电动汽车用户之间的博弈关系,提出电价指导用户充电选择的电动汽车充电调度优化方法,并搭建电动汽车的动态分时优化充放电仿真模型。然后,在求解过程中,利用改进的果蝇优化算法(fruit fly optimization algorithm,FOA)对电动汽车充电时段进行规划。最后,通过算例仿真分析验证该策略的可行性与经济性。与现有的固定电价策略相比,所提策略不仅可以有效减小电网负荷的峰谷差,避免负荷“新高峰”,而且可以提高代理商和电动汽车用户的收益。
Currently,the distribution grid is substantially pressured due to the charging requirements of electric vehicles during peak hours with the rapid growth of electric vehicles.Existing studies indicate that the power supply pressure on the distribution grid can be effectively mitigated by the orderly charging and discharging scheduling of electric vehicles.However,the disparities in charging and discharging needs among different electric vehicle users are not considered by the majority of electric vehicle charging station operators,which treat the charging and discharging scheduling of electric vehicles uniformly,thus increasing grid pressure.To address this,an optimization approach for electric vehicle charging scheduling based on electricity price guidance is proposed in this paper,for the game between electric vehicle operators and users under a cooperative game framework.Additionally,a dynamic time-of-use optimized charging and discharging simulation model for electric vehicles is constructed.In the solution process,an improved fruit fly optimization algorithm(FOA) is uesd to plan the charging periods of electric vehicles.Eventually,the feasibility and economic advantages of the proposed strategy are verified through case study simulation analysis.Compared to the existing fixed electricity price strategy,the proposed strategy not only effectively reduces the peak-to-valley differences of the grid load and prevents new load peaks but also improves the benefits for both electric vehicle operators and users.
作者
舒征宇
刘文灿
李黄强
王灿
姚钦
SHU Zhengyu;LIU Wencan;LI Huangqiang;WANG Can;YAO Qin(College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443002,China;Yichang Power Supply Company of State Grid Hubei Electric Power Co.,Ltd.,Yichang 443000,China)
出处
《电力工程技术》
北大核心
2025年第3期179-187,共9页
Electric Power Engineering Technology
基金
国家自然科学基金资助项目(52107107)。
关键词
充电选择
有序充放电
改进的果蝇优化算法(FOA)
动态分时电价
合作博弈收益
削峰填谷
charging options
orderly charging and discharging
improved fruit fly optimization algorithm(FOA)
dynamic time-of-use pricing
cooperative game revenue
peak load shifting
