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

IF 3.3 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Electric Power Systems Research Pub Date : 2025-02-19 DOI:10.1016/j.epsr.2025.111532

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

{"title":"Non-dominated sorting WOA electric vehicle charging station siting study based on dynamic trip chain","authors":"Minan Tang , Yude Jiang , Shuyou Yu , Jiandong Qiu , Hanting Li , Wenxin Sheng","doi":"10.1016/j.epsr.2025.111532","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"244 ","pages":"Article 111532"},"PeriodicalIF":3.3000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electric Power Systems Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378779625001245","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

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.

Abstract Image

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

求助全文

约1分钟内获得全文去求助

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.