Maissa Farhat, O. Barambones, L. Sbita, J. G. D. Durana
{"title":"A stable FLC-based MPPT technique for photovoltaic system","authors":"Maissa Farhat, O. Barambones, L. Sbita, J. G. D. Durana","doi":"10.1109/ICIT.2015.7125210","DOIUrl":null,"url":null,"abstract":"This paper presents a new stable fuzzy-logic-control (FLC) based maximum power point tracking (MPPT) algorithm for stand-alone photovoltaic (PV) system. The proposed method uses the power to voltage variation and voltage variation as the inputs, which significantly simplified the computation. The proposed FLC is compared in the simulation with the conventional perturb and observe (P&O) method, the FLC-based MPPT algorithm improved the dynamic and steady state performance of PV system. The rules set up were established in order to ensure the system stability. The stability analysis method for the mamdani fuzzy logic controller is proposed using the Lyapunov's theory. The obtained results show that the proposed (FLC) succeeds to track the MPPT and present better performance compared to the P&O.","PeriodicalId":156295,"journal":{"name":"2015 IEEE International Conference on Industrial Technology (ICIT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Industrial Technology (ICIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2015.7125210","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
This paper presents a new stable fuzzy-logic-control (FLC) based maximum power point tracking (MPPT) algorithm for stand-alone photovoltaic (PV) system. The proposed method uses the power to voltage variation and voltage variation as the inputs, which significantly simplified the computation. The proposed FLC is compared in the simulation with the conventional perturb and observe (P&O) method, the FLC-based MPPT algorithm improved the dynamic and steady state performance of PV system. The rules set up were established in order to ensure the system stability. The stability analysis method for the mamdani fuzzy logic controller is proposed using the Lyapunov's theory. The obtained results show that the proposed (FLC) succeeds to track the MPPT and present better performance compared to the P&O.