面向“代客加电”服务的电动汽车充电引导策略
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(1.天津大学电气自动化与信息工程学院,天津 300072;2.智能电网教育部重点实验室(天津大学),天津 300072; 3.国网天津市电力公司,天津 300010)

作者简介:

金志刚(1972—),男,博士,教授,研究方向为网络安全与智能电网;E-mail: zgjin@tju.edu.cn 胡 怡(1996—),女,博士研究生,研究方向为车联网与智能电网;E-mail: huyi1996@tju.edu.cn 李 根(1984—),男,通信作者,博士,工程师,研究方向为车联网、网络安全与区块链。E-mail: ligen@tju.edu.cn

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基金项目:

国家自然科学基金项目资助(51677124);天津市自然科学基金项目资助(19JCYBJC15700)


Charging guiding strategy for electric vehicles oriented to a valet charging service
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(1. School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China; 2. Key Laboratory of the Ministry of Education on Smart Power Grids (Tianjin University), Tianjin 300072, China; 3. State Grid Tianjin Electric Power Company, Tianjin 300010, China)

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    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. This work is supported by the National Natural Science Foundation of China (No. 51677124).

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引用本文

金志刚,胡 怡,李 根,等.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.[JIN Zhigang, HU Yi, LI Gen, et al. Charging guiding strategy for electric vehicles oriented to a valet charging service[J]. Power System Protection and Control,2022,V50(14):76-84]

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  • 收稿日期:2021-09-29
  • 最后修改日期:2021-12-24
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  • 在线发布日期: 2022-07-14
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