基于效用最大化原则的电动汽车充电站负荷特性分析方法

随着电动汽车规模化的发展,其充电负荷的时空预测为充电站配网建设和和充电设施规划建设提供了数据支撑。因此,文中基于效用最大化原则提出了一种的电动汽车充电站负荷预测方法,首先基于出行链建立电动汽车的时空分布模型,然后基于效用最大化原则和时间成本法分析了电动汽车用户充电消费选择,最后运用蒙特卡罗方法对充电站负荷进行仿真预测。与相关文献仿真对比,验证了所提方法的有效性和正确性,并分析了不同渗透率下和不同充电站位置下电动汽车充电站的充电负荷特性。结果表明,随着电动汽车渗透率提高,其充电行为的集中化增大了系统峰谷差;合理布局电动汽车充电站位置,可以使各充电站充电负荷更加均匀。

Load demand analyzing for electric vehicle charging station based on the principle of utility

With a rapid development of electric vehicles (EVs),the spatial and temporal charging load prediction of EVs provides support for the construction of charging stations and the planning and construction of charging facilities.Therefore,this paper proposes a method of electric vehicle load demand analyzing based on the principle of maximizing the utility.Firstly,the temporal and spatial distribution of electric vehicle is established based on trip chain.Then,a choice is decided to imitate the charging behaviors of users based on the principle of utility maximization and time cost method.Finally,simulation forecast of the electric vehicle temporal and spatial charging load demand is conducted.The effectiveness and correctness of the proposed method are verified by contrasting with related literatures,and simulations analyze the impact of permeability and charging stations location on charging load.The results show that the charging load is also increased as the permeability increased;Reasonable layout of charging station position will make charging load more evenly.