{"title":"Fuzzy-logic based hill-climbing method for maximum power point tracking in PV systems","authors":"V. P. Nejila, A. Selvakumar","doi":"10.1109/ICPEC.2013.6527614","DOIUrl":null,"url":null,"abstract":"A fuzzy-logic controller based on hill-climbing method for maximum power point tracking of photovoltaic system is proposed. The features of maximum power point tracker based on conventional hill-climbing algorithm are studied. The new controller incorporates the advantages of hill-climbing algorithm and eliminates its drawbacks. This technique provides fast and accurate convergence to the maximum power point during steady-state and gradually changing weather conditions. The hill-climbing algorithm is implemented using 17 fuzzy control rules. Simulation results are provided to illustrate the validity of the proposed hill-climbing based fuzzy-logic controller.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Power, Energy and Control (ICPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEC.2013.6527614","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
A fuzzy-logic controller based on hill-climbing method for maximum power point tracking of photovoltaic system is proposed. The features of maximum power point tracker based on conventional hill-climbing algorithm are studied. The new controller incorporates the advantages of hill-climbing algorithm and eliminates its drawbacks. This technique provides fast and accurate convergence to the maximum power point during steady-state and gradually changing weather conditions. The hill-climbing algorithm is implemented using 17 fuzzy control rules. Simulation results are provided to illustrate the validity of the proposed hill-climbing based fuzzy-logic controller.
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