考虑混合车流的电动汽车充电站优化布局策略

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摘要随着电动汽车普及率的提升,电动汽车充电站规划成为一大研究热点。针对充电站的优化布局问题,设计一个双层规划模型。其中,上层目标为最小化总广义社会成本,下层则根据上层给出的充电站规划方案,求解交通分配问题和最优潮流问题,反馈与总广义社会成本相关的信息给上层。然后,采用一种基于代理模型的算法求解所构造的双层规划问题。最后,通过案例分析验证了求解算法的有效性。

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	顾映彬
	黄培锋
	王涓
	唐力则
	黄树强

关键词 ：电动汽车, 充电站, 交通分配问题（TAP）, 最优潮流问题, 代理模型

Abstract：With the increasing popularity of electric vehicles, the planning of electric vehicle charging stations has become a research hotpot. A bi-level planning model is designed for the optimal layout of charging stations. The upper layer aims to minimize the total generalized social cost, and the lower layer solves the traffic assignment problem and the optimal power flow problem according to the charging station planning scheme given by the upper layer, and feeds back the information related to the total generalized social cost to the upper layer. Meanwhile, a surrogate model-based algorithm is adopted to solve the constructed bi-level planning problem. Finally, the effectiveness of the proposed algorithm is verified by case analysis.

Key words： electric vehicles charging stations traffic assignment problem (TAP) optimal power flow problem surrogate model

收稿日期: 2024-01-26

基金资助:中国南方电网有限责任公司科技项目（035100KK52220019（GDKJXM20220765））

作者简介: 顾映彬（1972—）,男,广东潮州人,本科,高级工程师,主要从事配电网智能监测、用电检查技术、配电网规划等方面的研究工作。

引用本文:

顾映彬, 黄培锋, 王涓, 唐力则, 黄树强. 考虑混合车流的电动汽车充电站优化布局策略[J]. 电气技术, 2024, 25(7): 15-22. GU Yingbin, HUANG Peifeng, WANG Juan, TANG Lize, HUANG Shuqiang. Optimal layout strategy of electric vehicle charging station considering mixed traffic flow. Electrical Engineering, 2024, 25(7): 15-22.

链接本文:

http://dqjs.cesmedia.cn/CN/Y2024/V25/I7/15

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