面向非完全理性用户的多元充电站优化调度策略
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国家电网有限公司科技项目"基于大功率IGBT的电动汽车能源站柔性控制和主动安全关键技术研究及应用"

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    摘要:

    电动汽车(EV)充电站是为用户提供充电服务并为电网提供能量聚合调节能力的中心,需要在保障用户需求的基础上实现各方利益的均衡。文中立足包含常规负荷、储能及分布式新能源(DRG)的多元充电站(MCS),设计激励用户参与调节的充电价格机制,并分别基于期望效用理论(EUT)和前景理论(PT),建立用户选择的理性和非完全理性模型。采用模型预测控制(MPC)方法,提出了兼顾充电站运营经济性和调节灵活性的调度策略,并通过虚拟变量的设置,将双层优化转化为单层优化,减少了计算时间。基于面向真实人的实验,验证了非完全理性模型在预测用户行为上的优势。优化仿真实验中,文中所提出的融合社会-物理方法的调度模型在电网指令跟随、经济性优化等方面均表现出了良好的性能。

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Optimal scheduling strategy of multi-element charging station for bounded rational users
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    Abstract:

    Since charging stations are aggregation centers which provide charging service for electric vehicles and adjustment flexibility for power grid,it is necessary for charging stations to give consideration to interests of all partners with respect to users' independent choices. Focused on multi-element charging stations (MCS) which contain conventional load,energy storage,distributed renewable energy generation (DRG),charging price mechanism is firstly designed in this paper to improve participation motivation of users in providing charging flexibility. Then,both rational model based on expected utility (EUT) theory and bounded rational model based on prospect theory (PT) are established to describe users' selections. Model predictive control (MPC) is adopted to deal with uncertainties. Both operating economy and adjustment flexibility of charging stations have been taken into account in the comprehensive scheduling strategy. Finally,double-layer optimization is converted into single-layer through dummy variables to reduce calculation time and make the strategy suitable for online application. Advantages of the bounded rational model in predicting users' behavior are verified by experiments towards real people. In the simulation experiment,the proposed scheduling strategy integrating social-physical methods shows good performance in following requirements of power grid and reducing operating costs.

引用本文

何胜利,刘现涛,张甜,陈中.面向非完全理性用户的多元充电站优化调度策略[J].电力工程技术,2021,40(5):34-40

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历史
  • 收稿日期:2021-03-24
  • 最后修改日期:2021-05-28
  • 录用日期:2021-06-28
  • 在线发布日期: 2021-09-30
  • 出版日期: 2021-09-28