H. Chaouali, H. Othmani, D. Mezghani, H. Jouini, A. Mami
{"title":"Fuzzy logic control scheme for a 3 phased asynchronous machine fed by Kaneka GSA-60 PV panels","authors":"H. Chaouali, H. Othmani, D. Mezghani, H. Jouini, A. Mami","doi":"10.1109/IREC.2016.7478893","DOIUrl":null,"url":null,"abstract":"This paper provides different results of simulations developed with MATLAB-SIMULINK environment consisting of modeling and controlling a photovoltaic system composed by Kaneka GSA-60 panels and supplying a 3 phased asynchronous machine. In order to maintain the best possible performance for a standalone functioning in different weather conditions; without using storage solutions; we have developed different parts of controlling system. The presented results show simulations of the developed model and the controlling system ; based on fuzzy logic technique; comparing its performance with and without Maximum Power Point Tracking system in different scenarios of solar irradiation and temperature variations.","PeriodicalId":190533,"journal":{"name":"2016 7th International Renewable Energy Congress (IREC)","volume":"460 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th International Renewable Energy Congress (IREC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IREC.2016.7478893","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
This paper provides different results of simulations developed with MATLAB-SIMULINK environment consisting of modeling and controlling a photovoltaic system composed by Kaneka GSA-60 panels and supplying a 3 phased asynchronous machine. In order to maintain the best possible performance for a standalone functioning in different weather conditions; without using storage solutions; we have developed different parts of controlling system. The presented results show simulations of the developed model and the controlling system ; based on fuzzy logic technique; comparing its performance with and without Maximum Power Point Tracking system in different scenarios of solar irradiation and temperature variations.