{"title":"电动汽车充电站多周期选址与容量优化","authors":"Dandan Hu, Zhiwei Liu, Ming Chi","doi":"10.1109/AIAIM.2019.8632776","DOIUrl":null,"url":null,"abstract":"With rapid growth of electric vehicles, the development of charging stations has to keep up. This paper proposes a multi-period location and capacity optimization model of charging stations, and introduces congestion rate to control the queuing situation. As the model is a NP-hard problem, two kinds of greedy algorithms are proposed, which are proved to be effective by lots of computational experiments.","PeriodicalId":179068,"journal":{"name":"2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multiple Periods Location and Capacity Optimization of Charging Stations for Electric Vehicle\",\"authors\":\"Dandan Hu, Zhiwei Liu, Ming Chi\",\"doi\":\"10.1109/AIAIM.2019.8632776\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With rapid growth of electric vehicles, the development of charging stations has to keep up. This paper proposes a multi-period location and capacity optimization model of charging stations, and introduces congestion rate to control the queuing situation. As the model is a NP-hard problem, two kinds of greedy algorithms are proposed, which are proved to be effective by lots of computational experiments.\",\"PeriodicalId\":179068,\"journal\":{\"name\":\"2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIAIM.2019.8632776\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIAIM.2019.8632776","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiple Periods Location and Capacity Optimization of Charging Stations for Electric Vehicle
With rapid growth of electric vehicles, the development of charging stations has to keep up. This paper proposes a multi-period location and capacity optimization model of charging stations, and introduces congestion rate to control the queuing situation. As the model is a NP-hard problem, two kinds of greedy algorithms are proposed, which are proved to be effective by lots of computational experiments.