Kulsomsup Yenchamchalit, Y. Kongjeen, K. Bhumkittipich, N. Mithulananthan
{"title":"基于粒子群优化技术的插电式电动汽车充电站布局优化","authors":"Kulsomsup Yenchamchalit, Y. Kongjeen, K. Bhumkittipich, N. Mithulananthan","doi":"10.1109/IEECON.2018.8712336","DOIUrl":null,"url":null,"abstract":"This paper had presented the optimal battery charging station for Plug-in Electric Vehicles (PEVs) in the electrical power system, by using the Particle Swarm Optimization technique (PSO). The PEVs are represented using the Voltage Source Converter (VSC) as the group of PEVs that were installed in the charging station. The electrical power system was analyzed in a steady state, by using the IEEE 30 bus test system. The installed PEVs site in the power system aimed to minimize system power loss. The results were shown that the optimal site is bus N0.30. The total power loss and percentage of power loss reduction were 0.0994 p.u. and 6.4%, respectively.","PeriodicalId":6628,"journal":{"name":"2018 International Electrical Engineering Congress (iEECON)","volume":"7 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Optimal Sizing and Location of the Charging Station for Plug-in Electric Vehicles Using the Particle Swarm Optimization Technique\",\"authors\":\"Kulsomsup Yenchamchalit, Y. Kongjeen, K. Bhumkittipich, N. Mithulananthan\",\"doi\":\"10.1109/IEECON.2018.8712336\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper had presented the optimal battery charging station for Plug-in Electric Vehicles (PEVs) in the electrical power system, by using the Particle Swarm Optimization technique (PSO). The PEVs are represented using the Voltage Source Converter (VSC) as the group of PEVs that were installed in the charging station. The electrical power system was analyzed in a steady state, by using the IEEE 30 bus test system. The installed PEVs site in the power system aimed to minimize system power loss. The results were shown that the optimal site is bus N0.30. The total power loss and percentage of power loss reduction were 0.0994 p.u. and 6.4%, respectively.\",\"PeriodicalId\":6628,\"journal\":{\"name\":\"2018 International Electrical Engineering Congress (iEECON)\",\"volume\":\"7 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Electrical Engineering Congress (iEECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEECON.2018.8712336\",\"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 International Electrical Engineering Congress (iEECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEECON.2018.8712336","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Sizing and Location of the Charging Station for Plug-in Electric Vehicles Using the Particle Swarm Optimization Technique
This paper had presented the optimal battery charging station for Plug-in Electric Vehicles (PEVs) in the electrical power system, by using the Particle Swarm Optimization technique (PSO). The PEVs are represented using the Voltage Source Converter (VSC) as the group of PEVs that were installed in the charging station. The electrical power system was analyzed in a steady state, by using the IEEE 30 bus test system. The installed PEVs site in the power system aimed to minimize system power loss. The results were shown that the optimal site is bus N0.30. The total power loss and percentage of power loss reduction were 0.0994 p.u. and 6.4%, respectively.