{"title":"考虑既有服务区和动态交通仿真的高速公路电动汽车充电站规划","authors":"Jinglin Han, Yunpeng Ling, Yan Jun, Zhao Yang, Tianhua Han, Shengtao Feng, Haizhou Zhao, Chen Liang","doi":"10.1109/CICED.2018.8592343","DOIUrl":null,"url":null,"abstract":"To address the issue that existing studies cannot take the impact of the existing service area and dynamic changes in traffic on planning of highway charging stations(CS) into consideration, a new practical planning method is proposed for the charging station of electric vehicle(EV) on the highway. First, taking into account the impact of the existing service areas, a multi-objective planning model was established, with the aiming of minimizing annual construction and maintenance costs and the daily charge waiting time of EVs. Then, a dynamic traffic simulation method based on link transmission model (LTM) is proposed. Further, the model was solved based on multi-objective particle swarm optimization and VIKOR method to obtain the optimal planning scheme. Finally, the validity of the proposed method are verified by the circular highway network.","PeriodicalId":142885,"journal":{"name":"2018 China International Conference on Electricity Distribution (CICED)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Planning of Electric Vehicle Charging Station on Highway Considering Existing Service Areas and Dynamic Traffic Simulations\",\"authors\":\"Jinglin Han, Yunpeng Ling, Yan Jun, Zhao Yang, Tianhua Han, Shengtao Feng, Haizhou Zhao, Chen Liang\",\"doi\":\"10.1109/CICED.2018.8592343\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To address the issue that existing studies cannot take the impact of the existing service area and dynamic changes in traffic on planning of highway charging stations(CS) into consideration, a new practical planning method is proposed for the charging station of electric vehicle(EV) on the highway. First, taking into account the impact of the existing service areas, a multi-objective planning model was established, with the aiming of minimizing annual construction and maintenance costs and the daily charge waiting time of EVs. Then, a dynamic traffic simulation method based on link transmission model (LTM) is proposed. Further, the model was solved based on multi-objective particle swarm optimization and VIKOR method to obtain the optimal planning scheme. Finally, the validity of the proposed method are verified by the circular highway network.\",\"PeriodicalId\":142885,\"journal\":{\"name\":\"2018 China International Conference on Electricity Distribution (CICED)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 China International Conference on Electricity Distribution (CICED)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICED.2018.8592343\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 China International Conference on Electricity Distribution (CICED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICED.2018.8592343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Planning of Electric Vehicle Charging Station on Highway Considering Existing Service Areas and Dynamic Traffic Simulations
To address the issue that existing studies cannot take the impact of the existing service area and dynamic changes in traffic on planning of highway charging stations(CS) into consideration, a new practical planning method is proposed for the charging station of electric vehicle(EV) on the highway. First, taking into account the impact of the existing service areas, a multi-objective planning model was established, with the aiming of minimizing annual construction and maintenance costs and the daily charge waiting time of EVs. Then, a dynamic traffic simulation method based on link transmission model (LTM) is proposed. Further, the model was solved based on multi-objective particle swarm optimization and VIKOR method to obtain the optimal planning scheme. Finally, the validity of the proposed method are verified by the circular highway network.