{"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.