ANN-based maximum power point tracking of photovoltaic system using fuzzy controller
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Dosyalar
Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
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Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
A maximum power point tracking (MPPT) algorithm using fuzzy controller was considered. MPPT method was implemented based on the voltage and reference PV voltage value was obtained from Artificial Neural Network (ANN)-model of PV modules. Therefore, measuring only the PV module voltage is adequate for MPPT operation. Fuzzy controller is used to directly control dc-dc buck converter. The simulation results have been used to verify the effectiveness of the algorithm. The proposed method is compared with conventional perturbation & observation based method. The nonlinearity and adaptiveness of fuzzy controller provided good performance under parameter variations such as solar irradiation.
Açıklama
International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2012 -- 2 July 2012 through 4 July 2012 -- Trabzon -- 92831
Anahtar Kelimeler
Dc-Dc Converter, Fuzzy Controller, Maximum Power Point Tracking, PV System
Kaynak
INISTA 2012 - International Symposium on INnovations in Intelligent SysTems and Applications
WoS Q Değeri
Scopus Q Değeri
N/A
