Rеvuе des Energies Renouvelables
Volume 19, Numéro 3, Pages 487-495
2016-09-30

Steady State Oscillations Reduction Using Neural Network Ic-based Variable Step Size Mppt



Authors : Harrag A. . Bahri H. . Messalti S. .

Abstract

This paper deals with the development of neural network IC-based variable step size MPPT controller. The proposed neural network MPPT controller is firstly, developed in offline mode required for testing different set of neural network parameters and architectures, and used secondly in the online mode to track the output power of the PV system composed of Solarex MSX 60W PV module fed by a DC-DC boost converter drived using the proposed ANN MPPT controller. The proposed neural network MPPT controller is tested and validated using Matlab/Simulink environments. Simulation results and analysis are presented showing good performances for the proposed controller compared to the conventional fixed or variable step size algorithms.

Keywords

PV System, MPPT, Incremental Conductance, IC, Neural Network, Variable Step Size.

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