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Efficiency of Different Control Algorithms for a PV Panel

EasyChair Preprint no. 8334

6 pagesDate: June 21, 2022


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

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  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 no. 8334},

  year = {EasyChair, 2022}}
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