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Modelling of Selected Algorithms for Maximum Power Point Tracking in Photovoltaic Panels

Author

Listed:
  • Grzegorz Trzmiel

    (Faculty of Control, Robotics and Electrical Engineering, Poznan University of Technology, 60-965 Poznan, Poland)

  • Jarosław Jajczyk

    (Faculty of Control, Robotics and Electrical Engineering, Poznan University of Technology, 60-965 Poznan, Poland)

  • Jan Szulta

    (Faculty of Control, Robotics and Electrical Engineering, Poznan University of Technology, 60-965 Poznan, Poland)

  • Norbert Chamier-Gliszczynski

    (Faculty of Economics Sciences, Koszalin University of Technology, 75-453 Koszalin, Poland)

  • Waldemar Woźniak

    (Faculty of Mechanical Engineering, University of Zielona Gora, 65-001 Zielona Gora, Poland)

Abstract

The main focus of this article is the simulation and analysis of the operating principles of selected maximum power point tracking (MPPT) algorithms for photovoltaic panels, as well as a comparison of various techniques used to address this challenge. The article discusses the underlying rationale for the necessity of identifying the operating point at which a photovoltaic panel delivers maximum power. In addition to the theoretical description, the algorithms were classified, and in the simulation section, the most popular and widely used MPPT algorithms were implemented and compared in the MATLAB 24.11 (R2024a) environment. The application of appropriate solutions among the modelled and tested algorithms enables improved efficiency of photovoltaic cells within panels or larger photovoltaic systems.

Suggested Citation

  • Grzegorz Trzmiel & Jarosław Jajczyk & Jan Szulta & Norbert Chamier-Gliszczynski & Waldemar Woźniak, 2025. "Modelling of Selected Algorithms for Maximum Power Point Tracking in Photovoltaic Panels," Energies, MDPI, vol. 18(19), pages 1-33, October.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:19:p:5223-:d:1762863
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    References listed on IDEAS

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    5. Amrouche, Badia & Guessoum, Abderrezak & Belhamel, Maiouf, 2012. "A simple behavioural model for solar module electric characteristics based on the first order system step response for MPPT study and comparison," Applied Energy, Elsevier, vol. 91(1), pages 395-404.
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