金志刚, 胡怡, 李根, 岳顺民. 面向“代客加电”服务的电动汽车充电引导策略[J]. 电力系统保护与控制, 2022, 50(14): 76-84. DOI: 10.19783/j.cnki.pspc.211333
引用本文: 金志刚, 胡怡, 李根, 岳顺民. 面向“代客加电”服务的电动汽车充电引导策略[J]. 电力系统保护与控制, 2022, 50(14): 76-84. DOI: 10.19783/j.cnki.pspc.211333
JIN Zhigang, HU Yi, LI Gen, YUE Shunmin. Charging guiding strategy for electric vehicles oriented to a valet charging service[J]. Power System Protection and Control, 2022, 50(14): 76-84. DOI: 10.19783/j.cnki.pspc.211333
Citation: JIN Zhigang, HU Yi, LI Gen, YUE Shunmin. Charging guiding strategy for electric vehicles oriented to a valet charging service[J]. Power System Protection and Control, 2022, 50(14): 76-84. DOI: 10.19783/j.cnki.pspc.211333

面向“代客加电”服务的电动汽车充电引导策略

Charging guiding strategy for electric vehicles oriented to a valet charging service

  • 摘要: 为解决电动汽车面临的充电难题,提出面向“代客加电”服务的电动汽车充电引导策略。首先,充分考虑“代客加电”服务,对电动汽车充电引导场景及充电影响因素进行分析。其次,以最优化电动汽车用户充电经济成本、代充电服务侧利益以及充电站设备利用率为目标建立充电引导模型,并采用改进的灰狼优化算法引导电动汽车的充电行为。最后,对某城市主要城区内具有充电需求的电动汽车进行仿真。结果表明:面向“代客加电”服务的电动汽车充电引导策略能够有效减少电动汽车用户充电经济成本、代驾司机代充电过程中的时间成本以及距离成本,同时实现充电站间设备利用率均衡分布。

     

    Abstract: In order to deal with the charging problems of electric vehicles(EVs), a charging guiding strategy for EVs oriented to a valet charging service is proposed. First, the EV charging guiding scenarios and the influence factors of charging are analyzed comprehensively considering the valet charging service. Secondly, a charging guiding model is established, with the aim of optimizing the EV users’ economic cost, the benefits of agent charging service providers and the utilization rate of charging station equipment. The improved grey wolf optimization is used to guide the charging behaviors of EVs. Finally, simulations of EVs with their charging requirements in a major urban area of a city are conducted. The results show that the charging guiding strategy for EVs oriented to a valet charging service can effectively reduce the charging economic cost of EV users as well as the time cost and distance cost in the process of charging for agent drivers. At the same time it realizes the balanced distribution of equipment utilization among charging stations.

     

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