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

Grzegorz Trzmiel, Jarosław Jajczyk, Jan Szulta, Norbert Chamier-Gliszczynski () and Waldemar Woźniak
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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

Energies, 2025, vol. 18, issue 19, 1-33

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.

Keywords: maximum power point tracking (MPPT) algorithms; photovoltaics; maximum power point of photovoltaic panels; simulation of MPPT algorithms (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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