F. Solomonesc, R. Teslovan, C. Barbulescu, S. Kilyeni, Petru Dan Cristian
{"title":"Genetic algorithm power flow computing approach","authors":"F. Solomonesc, R. Teslovan, C. Barbulescu, S. Kilyeni, Petru Dan Cristian","doi":"10.1109/UPEC.2012.6398608","DOIUrl":null,"url":null,"abstract":"There is a growing interest in finding new ways to solve power systems related problems. Heuristic search methods are considered a good alternative to conventional ones. The present work focuses on genetic algorithms (GA). A GA adapted for power flow solving is detailed. Some practical issues are presented.","PeriodicalId":326950,"journal":{"name":"2012 47th International Universities Power Engineering Conference (UPEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 47th International Universities Power Engineering Conference (UPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UPEC.2012.6398608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
There is a growing interest in finding new ways to solve power systems related problems. Heuristic search methods are considered a good alternative to conventional ones. The present work focuses on genetic algorithms (GA). A GA adapted for power flow solving is detailed. Some practical issues are presented.