Efficiency of different control algorithms for a PV panel

This work, presents a comparative study of three intelligent control methods in order to optimize the efficiency of the solar PV system. We have proposed a control law for extract the maximum power point (MPP) based on artificial intelligence algorithms such as artificial neural networks (NNA) or fuzzy logic (FL), the main contribution is to compared them with the classical P&O methods, through simulation results, in order to choose the most efficient algorithm.