Optimal Allocation of Electric Vehicle Charging Station using Symbiotic Organisms Search Algorithm and Reliability Index Approach

R. Chakraborty, D. Das, P. Das
{"title":"Optimal Allocation of Electric Vehicle Charging Station using Symbiotic Organisms Search Algorithm and Reliability Index Approach","authors":"R. Chakraborty, D. Das, P. Das","doi":"10.1109/BHARAT53139.2022.00046","DOIUrl":null,"url":null,"abstract":"It is forecasted that Electric Vehicles (EVs) are the most reliable future technology of the transport sector considering its sustainability and almost negligible carbon emission. To satisfy the power requirement for charging of EV, the distribution network's power loss rises resulting in considerable variations in the voltage and current profile. Inappropriate positioning of EV Charging Stations (EVCS) greatly reduces the distribution system’s power quality. The positioning of EVCS in the IEEE 33 bus radial distribution network is outlined in this paper. For attaining facilities of charging in different positions, the distribution system is being split into three areas and one charging station is being allocated in each area. A multi-objective function has been taken into account with the purpose of improving active and reactive power loss by utilizing Symbiotic Organisms Search Algorithm (SOS) for determining the best position of EVCS. The Bus Reliability Index (BRI) has been determined for all the load points in the IEEE 33 bus radial distribution network and EVCS has been allocated based on the order of strongest buses.","PeriodicalId":426921,"journal":{"name":"2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Breakthrough in Heuristics And Reciprocation of Advanced Technologies (BHARAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BHARAT53139.2022.00046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

It is forecasted that Electric Vehicles (EVs) are the most reliable future technology of the transport sector considering its sustainability and almost negligible carbon emission. To satisfy the power requirement for charging of EV, the distribution network's power loss rises resulting in considerable variations in the voltage and current profile. Inappropriate positioning of EV Charging Stations (EVCS) greatly reduces the distribution system’s power quality. The positioning of EVCS in the IEEE 33 bus radial distribution network is outlined in this paper. For attaining facilities of charging in different positions, the distribution system is being split into three areas and one charging station is being allocated in each area. A multi-objective function has been taken into account with the purpose of improving active and reactive power loss by utilizing Symbiotic Organisms Search Algorithm (SOS) for determining the best position of EVCS. The Bus Reliability Index (BRI) has been determined for all the load points in the IEEE 33 bus radial distribution network and EVCS has been allocated based on the order of strongest buses.
基于共生生物搜索算法和可靠性指标法的电动汽车充电站优化配置
据预测,考虑到电动汽车的可持续性和几乎可以忽略不计的碳排放,电动汽车(ev)是交通运输领域最可靠的未来技术。为了满足电动汽车充电的功率需求,配电网的功率损耗增大,导致电压和电流分布发生较大变化。电动汽车充电站的位置不合理,极大地降低了配电系统的电能质量。概述了EVCS在IEEE 33总线径向配电网中的定位。为了在不同位置获得充电设施,配电系统被分成三个区域,每个区域分配一个充电站。考虑多目标函数,利用共生生物搜索算法(SOS)确定EVCS的最佳位置,以提高有功功率和无功功率损耗。在ieee33总线径向配电网中,确定了所有负载点的总线可靠性指数(BRI),并根据最强总线的顺序分配EVCS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信