A New Intelligent MPPT Based on ANN Algorithm for Photovoltaic System

This article presents the design of a solar controller used in photovoltaic systems to protect the battery against the phenomenon of overcharging and deep discharge. In addition to the protection function, this controller ensures the tracking of the maximum power point (MPPT) and allows the photovoltaic generator to deliver its maximum power whatever the variation of the climatic conditions (irradiation and temperature), a study and comparison of a classical control (perturb and observe “P&O”) with an intelligent control (artificial neural networks “ANN”) was presented. Simulations performed under MATLAB and SIMULINK allow illustrating the advantages and disadvantages of each technique to be drawn.