Enhancing photovoltaic system maximum power point tracking with fuzzy logic-based perturb and observe method

Muhammad Ihsan Aziz Jafar, Muhammad Iqbal Zakaria, Nofri Yenita Dahlan, Muhammad Nizam Kamarudin, Nabil El Fezazi


Photovoltaic systems have emerged as a promising energy resource that caters to the future needs of society, owing to their renewable, inexhaustible, and cost-free nature. The power output of these systems relies on solar cell radiation and temperature. In order to mitigate the dependence on atmospheric conditions and enhance power tracking, a conventional approach has been improved by integrating various methods. To optimize the generation of electricity from solar systems, the maximum power point tracking (MPPT) technique is employed. To overcome limitations such as steady-state voltage oscillations and improve transient response, two traditional MPPT methods, namely fuzzy logic controller (FLC) and perturb and observe (P&O), have been modified. This research paper aims to simulate and validate the step size of the proposed modified P&O and FLC techniques within the MPPT algorithm using MATLAB/Simulink for efficient power tracking in photovoltaic systems.


DC-DC converter; Fuzzy logic controller; MATLAB/Simulink; Maximum power point tracking; Perturb and observe; Photovoltaic system

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DOI: http://doi.org/10.11591/ijece.v14i3.pp2386-2399

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International Journal of Electrical and Computer Engineering (IJECE)
p-ISSN 2088-8708, e-ISSN 2722-2578

This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).