DEVELOPING A CONTROLLER FOR A PHOTOVOLTAIC SYSTEM BY NEURAL NETWORKS

G.H. KIRAKOSYAN; V.G. KHACHATRYAN; L.G. KIRAKOSYAN; K.A. AVETISYAN

Authors

G.H. KIRAKOSYAN National Polytechnic University of Armenia Author
V.G. KHACHATRYAN National Polytechnic University of Armenia Author
L.G. KIRAKOSYAN National Polytechnic University of Armenia Author
K.A. AVETISYAN National Polytechnic University of Armenia Author

Keywords:

maximum power point tracking, photovoltaic system, neural network, buck converter, duty cycle, controller

Abstract

The theoretical details of the work carried out to develop and implement a maximum power point tracking controller using neural networks for a stand-alone photovoltaic system are presented. The simulation results in the Matlab environment presented for this approach under rapid variation of insolation and temperature conditions confirm the effectiveness of the proposed method both in terms of efficiency and fast response time.

DEVELOPING A CONTROLLER FOR A PHOTOVOLTAIC SYSTEM BY NEURAL NETWORKS

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