IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i19p5223-d1762863.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/19/5223/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/19/5223/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:19:p:5223-:d:1762863. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.