摘要
电动汽车规模化应用后,研究电动汽车的充电优化策略,不仅可以提高电动汽车充电效率,还能起到削峰填谷的作用。以某一固定时段内一定规模电动汽车进行集中充电的模式为研究对象,首先研究了电动汽车充电时长随机规律,其次在峰谷电价的基础上,建立了以用户总费用及单桩最大充电时间最小为目标的电动汽车集群充电策略优化模型,最后采用改进遗传算法进行求解,并与无序充电进行比较,验证了所提方法的可行性和有效性。
With wide application of electric vehicles, the optimal charging strategy for electric vehicles can not only improve the electric vehicle charging efficiency, but also shift peak load. This paper focuses on the centralized charging mode of electric vehicles aggregated in a certain scale during a fixed period of time. Firstly the stochastic characteristics of the electric vehicle charging time are studied, and an optimal charging strategy for aggregated electric vehicle dee- ming minimum total user cost and minimum of maximum charging time for a single charging pile as its objectives, is presented considering peak - valley electricity price. Then, the problem is solved by the improved genetic algorithm. The results are compared with the ones of random charging case. Finally, the feasibility and effectiveness of the pro- posed method are verified with the obtained results.
出处
《电力科学与工程》
2017年第5期29-34,共6页
Electric Power Science and Engineering
关键词
电动汽车
充电时长
有序充电策略
遗传算法
electric vehicle （EV＇）
charging time
strategy of coordinated charging
genetic algorithm
