{"title":"Load frequency control for diverse sources of interconnected two area power system: An adaptive fuzzy approach","authors":"A. Anilkumar, N. Srikanth","doi":"10.1109/ICCCCM.2016.7918218","DOIUrl":null,"url":null,"abstract":"This paper addresses adaptive fuzzy logic controller for load frequency control of a multi-source two area power system with different power generation sources viz hydro gas & thermal power plant. Expert knowledge is required for conventional fuzzy logic control in developing parameters. Whereas in this method rules are tuned online by adaptation algorithm according to operating condition. The robustness of adaptive fuzzy logic controller has been shown by comparing with conventional fuzzy logic controller and integral controller. The comparison is done based on various performance indices like settling times and peak overshoots for 1 percent step load perturbation.","PeriodicalId":410488,"journal":{"name":"2016 International Conference on Control, Computing, Communication and Materials (ICCCCM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Control, Computing, Communication and Materials (ICCCCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCCM.2016.7918218","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
This paper addresses adaptive fuzzy logic controller for load frequency control of a multi-source two area power system with different power generation sources viz hydro gas & thermal power plant. Expert knowledge is required for conventional fuzzy logic control in developing parameters. Whereas in this method rules are tuned online by adaptation algorithm according to operating condition. The robustness of adaptive fuzzy logic controller has been shown by comparing with conventional fuzzy logic controller and integral controller. The comparison is done based on various performance indices like settling times and peak overshoots for 1 percent step load perturbation.
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