Rеvuе des Energies Renouvelables
Volume 17, Numéro 2, Pages 253-261
2014-06-30
Neural Network And Fuzzy Logic To Track Maximum Power Point In Photovoltaic System
Authors : Drir N. . Barazane L. . Loudini M. .
Abstract
The output characteristics of photovoltaic systems are nonlinear and change with variations of temperature and irradiation, so we need a controller named maximum power point tracker MPPT to extract the maximum power at the terminal of photovoltaic generator. This study explores two intelligent controller based on a neural networks and fuzzy logic to track this point. These both controllers have prove, by their results, a good tracking of the MPPT compare with the other methods which are proposed up to now.
Keywords
Photovoltaic, Maximum power point tracking, P&O, Styling, Neural networks.
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