Mathematical Problems in Engineering
Volume 2012 (2012), Article ID 506709, 10 pages
http://dx.doi.org/10.1155/2012/506709
Research Article

PV Maximum Power-Point Tracking by Using Artificial Neural Network

Farzad Sedaghati,1 Ali Nahavandi,1 Mohammad Ali Badamchizadeh,1 Sehraneh Ghaemi,1 and Mehdi Abedinpour Fallah2

1Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 51666-16471, Iran
2Department of Mechanical and Industrial Engineering, Concordia University, Montreal, QC, Canada

Received 6 July 2011; Revised 6 November 2011; Accepted 30 November 2011

Academic Editor: Mohammad Younis

Copyright © 2012 Farzad Sedaghati et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In this paper, using artificial neural network (ANN) for tracking of maximum power point is discussed. Error back propagation method is used in order to train neural network. Neural network has advantages of fast and precisely tracking of maximum power point. In this method neural network is used to specify the reference voltage of maximum power point under different atmospheric conditions. By properly controling of dc-dc boost converter, tracking of maximum power point is feasible. To verify theory analysis, simulation result is obtained by using MATLAB/SIMULINK.