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<p>Photovoltaic energy is viewed as a very promising source in terms of cost, ease of implementation, and the range of applications using photovoltaic panels. However, conventional maximum power point tracking techniques, including methods like perturb and observe and incremental conductance, as well as methods based on artificial intelligence and metaheuristic algorithms, exhibit various drawbacks such as output signal quality, computational complexity, and implementation challenges.</p><p>In this context, we propose developing a method based on a predictive controller using fuzzy dynamic programming to improve the stability and reliability of photovoltaic energy conversion. This approach is particularly advantageous under rapidly changing atmospheric conditions and offers simplicity in implementation.</p>

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New predictive control for maximum power point tracking technique based on fuzzy dynamic programming

  • 期刊论文

  • 发表日期：

    2025年5月4日

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  • Abderrahim Fayçal Megri,
  • Houria Bayarassou

摘要

Photovoltaic energy is viewed as a very promising source in terms of cost, ease of implementation, and the range of applications using photovoltaic panels. However, conventional maximum power point tracking techniques, including methods like perturb and observe and incremental conductance, as well as methods based on artificial intelligence and metaheuristic algorithms, exhibit various drawbacks such as output signal quality, computational complexity, and implementation challenges.

In this context, we propose developing a method based on a predictive controller using fuzzy dynamic programming to improve the stability and reliability of photovoltaic energy conversion. This approach is particularly advantageous under rapidly changing atmospheric conditions and offers simplicity in implementation.