Non-dominated sorting WOA electric vehicle charging station siting study based on dynamic trip chain

IF 4.2 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Electric Power Systems Research Pub Date : 2025-07-01 Epub Date: 2025-02-19 DOI:10.1016/j.epsr.2025.111532

Minan Tang , Yude Jiang , Shuyou Yu , Jiandong Qiu , Hanting Li , Wenxin Sheng

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Abstract

The travel behavior of electric vehicle (EV) users is highly random, and the interests of EV charging station investors interact with the needs of charging users. The increasing number of electric vehicles (EVs), cities have higher requirements for EV charging station location planning. This paper proposes a multi-objective EV charging station siting method based on trip chains. First, the EV trip chain is used to analyze its dynamic travel process, construct probabilistic models, and simulate its charging behavior using Monte Carlo (MC) method to obtain the time–space distribution of EV users’ charging demand. Then, the Whale Optimization Algorithm (WOA) and the Non-dominated Sorting Whale Optimization Algorithm (NSWOA) are used to solve problems that aim to optimize the cost for the investor and improve user satisfaction as objective functions. Finally, taking a region in Nanjing as an example, the simulation concluded that multi-objective siting planning optimizes the investor cost by 9.22% compared with single-objective siting planning, reduces the user’s station-seeking time by 47.91%, charging waiting time by 65.83%, which verifies the method has the advantages of optimizing the investment cost and enhancing the user’s satisfaction, and it provides decision-making ideas for the study of EV charging station siting and layout.

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基于动态行程链的非支配排序WOA电动汽车充电站选址研究

电动汽车用户的出行行为具有高度随机性，电动汽车充电站投资者的兴趣与充电用户的需求相互影响。随着电动汽车数量的不断增加，城市对电动汽车充电站的选址规划提出了更高的要求。提出了一种基于行程链的电动汽车充电站多目标选址方法。首先，利用电动汽车出行链对其动态出行过程进行分析，构建概率模型，利用蒙特卡罗（MC）方法对其充电行为进行仿真，得到电动汽车用户充电需求的时空分布；然后，利用鲸鱼优化算法（WOA）和非支配排序鲸鱼优化算法（NSWOA）来解决以优化投资者成本和提高用户满意度为目标函数的问题。最后，以南京某地区为例，仿真结果表明，与单目标选址规划相比，多目标选址规划可使投资者成本优化9.22%，用户寻电站时间减少47.91%，充电等待时间减少65.83%，验证了该方法具有优化投资成本和提高用户满意度的优势，为电动汽车充电站选址与布局研究提供了决策思路。

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来源期刊

Electric Power Systems Research 工程技术-工程：电子与电气

CiteScore

7.50

自引率

17.90%

发文量

963

审稿时长

3.8 months

期刊介绍： Electric Power Systems Research is an international medium for the publication of original papers concerned with the generation, transmission, distribution and utilization of electrical energy. The journal aims at presenting important results of work in this field, whether in the form of applied research, development of new procedures or components, orginal application of existing knowledge or new designapproaches. The scope of Electric Power Systems Research is broad, encompassing all aspects of electric power systems. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal purview. • Generation techniques ranging from advances in conventional electromechanical methods, through nuclear power generation, to renewable energy generation. • Transmission, spanning the broad area from UHV (ac and dc) to network operation and protection, line routing and design. • Substation work: equipment design, protection and control systems. • Distribution techniques, equipment development, and smart grids. • The utilization area from energy efficiency to distributed load levelling techniques. • Systems studies including control techniques, planning, optimization methods, stability, security assessment and insulation coordination.