{"title":"An Evolutionary Algorithm Approach to Estimate the Parameters of Power Quality Signals","authors":"V. Ravikumar Pandi, B. K. Panigrahi","doi":"10.1109/PEDES.2006.344253","DOIUrl":null,"url":null,"abstract":"This paper presents an evolutionary algorithm approach to determine the amplitude, phase and frequency of a power quality signal. Genetic algorithm (GA) and particle swarm optimization (PSO) are the two evolutionary algorithms adopted to extract the above parameters of the power quality signal.","PeriodicalId":262597,"journal":{"name":"2006 International Conference on Power Electronic, Drives and Energy Systems","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Conference on Power Electronic, Drives and Energy Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEDES.2006.344253","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
This paper presents an evolutionary algorithm approach to determine the amplitude, phase and frequency of a power quality signal. Genetic algorithm (GA) and particle swarm optimization (PSO) are the two evolutionary algorithms adopted to extract the above parameters of the power quality signal.