{"title":"Optimal Placement of Remote Controlled Switches in Electric Power Distribution Systems with a Multi-Objective Approach","authors":"Eduardo Coronel, B. Barán, P. Gardel","doi":"10.1109/CLEI53233.2021.9639970","DOIUrl":null,"url":null,"abstract":"In the present work the problem of Optimal Placement of remote controlled Switches in an Electric Power Distribution Systems is analyzed with a Multi-objective approach. The selected objectives consider economic, technical, operational and social aspects. Real data from Paraguayan East Region is used. For the evaluation of solutions, an evaluating function based on the Monte Carlo method is implemented, which estimates the defined indices through the simulation of failures in the network, whose probabilities are obtained using the Reliability Block Diagram method. Six different multi-objective algorithms were implemented and compared using ONVGR and Hypervolume metrics, having the Multi-objective Ant Colony Optimization algorithms the best performance.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"70 11","pages":"1-10"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 XLVII Latin American Computing Conference (CLEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLEI53233.2021.9639970","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the present work the problem of Optimal Placement of remote controlled Switches in an Electric Power Distribution Systems is analyzed with a Multi-objective approach. The selected objectives consider economic, technical, operational and social aspects. Real data from Paraguayan East Region is used. For the evaluation of solutions, an evaluating function based on the Monte Carlo method is implemented, which estimates the defined indices through the simulation of failures in the network, whose probabilities are obtained using the Reliability Block Diagram method. Six different multi-objective algorithms were implemented and compared using ONVGR and Hypervolume metrics, having the Multi-objective Ant Colony Optimization algorithms the best performance.
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