International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2574

Full Length Research Paper

Development of a multilayer perceptron (MLP) based neural network controller for grid connected photovoltaic system

A. Ndiaye
  • A. Ndiaye
  • Laboratory of Renewable energy, Polytechnic Higher School, Cheikh Anta Diop University BP 5085, Dakar, Senegal.
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L. Thiaw
  • L. Thiaw
  • Laboratory of Renewable energy, Polytechnic Higher School, Cheikh Anta Diop University BP 5085, Dakar, Senegal.
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G. Sow
  • G. Sow
  • Laboratory of Renewable energy, Polytechnic Higher School, Cheikh Anta Diop University BP 5085, Dakar, Senegal.
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S. S. Fall
  • S. S. Fall
  • Laboratory of Renewable energy, Polytechnic Higher School, Cheikh Anta Diop University BP 5085, Dakar, Senegal.
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  •  Accepted: 29 January 2014
  •  Published: 09 February 2014

Abstract

This paper focuses on the development of a controller for grid connected photovoltaic energy conversion system. Control design of a single phase inverter interfacing a photovoltaic generator and an electrical grid is performed, based on Artificial Neural Networks. The developed controller is compared with a Proportional Integral (PI) controller through computer simulation. The obtained results show that the neural controller has faster response and lower total harmonic distortion (THD) without overshoots.

Key words: Photovoltaic generator, inverter, maximum power point tracking (MPPT), neural networks.

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This article is published under the terms of the Creative Commons Attribution License 4.0

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