Efficiency of Different Control Algorithms for a PV Panel

EasyChair Preprint 8334

Abstract

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 technique, through simulations, in order to choose the most efficient technique. Key words: Maximum power point, Perturb and Observe, Fuzzy Logic Control, Artificial Neural Networks Control, Photovoltaic system, Boost Converter.

Keyphrases: Boost converter, Maximum Power Point, Perturb and Observe, Photovoltaic system, artificial neural networks control, fuzzy logic control

@booklet{EasyChair:8334,
  author    = {Zied Khammassi and Med Hedi Moulehi and Abderrahmen Zaafouri and Elhechmi Katerchi},
  title     = {Efficiency of Different Control Algorithms for a PV Panel},
  howpublished = {EasyChair Preprint 8334},
  year      = {EasyChair, 2022}}