Neural network and fuzzy logic to track maximum power point in photovoltaic system

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Nadia Drir
Linda Barazane
Malik Loudini

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.

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[1]
“Neural network and fuzzy logic to track maximum power point in photovoltaic system”, J. Ren. Energies, vol. 17, no. 2, pp. 253–261, Jun. 2014, doi: 10.54966/jreen.v17i2.440.

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