{"title":"基于CSO的EVCS多目标定位","authors":"Sulabh Sachan","doi":"10.1109/ICPEE54198.2023.10060388","DOIUrl":null,"url":null,"abstract":"The sustainable mobility plans require the analysis of mobility for different future scenarios highlighting the necessity of improving the transport system and road safety globally. In this work, an efficient multi-objective function using Chicken Swarm optimization (CSO) for finding the optimal location of CSs in radial distribution network for minimizing the power losses, average voltage deviation index, and Harmonic Distortion Impact is presented. The simulations are performed on IEEE standard 33-bus radial distribution test systems.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Multi Objective Location of EVCS by CSO driven Heuristics\",\"authors\":\"Sulabh Sachan\",\"doi\":\"10.1109/ICPEE54198.2023.10060388\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The sustainable mobility plans require the analysis of mobility for different future scenarios highlighting the necessity of improving the transport system and road safety globally. In this work, an efficient multi-objective function using Chicken Swarm optimization (CSO) for finding the optimal location of CSs in radial distribution network for minimizing the power losses, average voltage deviation index, and Harmonic Distortion Impact is presented. The simulations are performed on IEEE standard 33-bus radial distribution test systems.\",\"PeriodicalId\":250652,\"journal\":{\"name\":\"2023 International Conference on Power Electronics and Energy (ICPEE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Power Electronics and Energy (ICPEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPEE54198.2023.10060388\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Power Electronics and Energy (ICPEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEE54198.2023.10060388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi Objective Location of EVCS by CSO driven Heuristics
The sustainable mobility plans require the analysis of mobility for different future scenarios highlighting the necessity of improving the transport system and road safety globally. In this work, an efficient multi-objective function using Chicken Swarm optimization (CSO) for finding the optimal location of CSs in radial distribution network for minimizing the power losses, average voltage deviation index, and Harmonic Distortion Impact is presented. The simulations are performed on IEEE standard 33-bus radial distribution test systems.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
