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:: Volume 16, Number 4 (1-2014) ::
3 2014, 16(4): 0-0 Back to browse issues page
GA Optimization of New Fuzzy Logic Controller for Maximum Power Point Tracking of Photovoltaic Module
Abstract:   (4537 Views)
Because of constraint in fossil fuel and incremental cost of energy, photovoltaic (PV) systems attract researchers’ special attention. One of the most important issues in this decade is obtaining the maximum power in PV systems. Maximum power point tracking (MPPT) in PV system is a technique to get the maximum available energy of PV module. This paper proposed an intelligent control method using fuzzy logic controller and optimization of its parameters by Genetic Algorithms (GAs) which are search algorithms based on the mechanism of natural selection and genetics. Simulation results show better performance of Optimized fuzzy logic controller under variable weather conditions.
Keywords: Fuzzy, Genetic Algorithm, MPPT, Photovoltaic
Full-Text [PDF 390 kb]   (1383 Downloads)    
Type of Study: Research | Subject: Energy Planning Models
Received: 2014/02/16 | Accepted: 2014/02/16 | Published: 2014/02/16
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GA Optimization of New Fuzzy Logic Controller for Maximum Power Point Tracking of Photovoltaic Module. 3. 2014; 16 (4)
URL: http://necjournals.ir/article-1-605-en.html
Volume 16, Number 4 (1-2014) Back to browse issues page
نشریه انرژی ایران Iranian Journal of Energy
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