Optimizing PV System Performance with FLC and P&O MPPT Controllers Using SEPIC and Boost Converters
Keywords:
Photovoltaic Systems (PV), Maximum Power Point Tracking (MPPT), Fuzzy Logic Controller (FLC), Perturb and Observe (P&O), SEPIC Converter, Boost Converter.Abstract
The growing reliance on renewable energy systems necessitates maximizing efficiency, reducing costs, and improving reliability. In photovoltaic (PV) systems, Maximum Power Point Tracking (MPPT) and converter design are critical to achieving these goals. This study models a PV module integrated with MPPT controllers using SEPIC and Boost converters to compare their performance under varying environmental conditions. Using MATLAB/SIMULINK, two control techniques, Fuzzy Logic Controller (FLC) and Perturb and Observe (P&O), and two converters - SEPIC and Boost -were simulated and compared. Results indicate that the SEPIC converter outperformed the Boost converter in terms of response time and ripple reduction (1.20% vs. 3.40%). As for the controllers, FLC demonstrated superior performance in tracking maximum power compared to P&O, achieving higher efficiency (92.5% vs. 91.7%) and faster response (~0.004 s), delivering better current, voltage, and power outputs. A case study focusing on Yemen (Sana'a and Aden) analysed system performance under variable solar irradiation and temperature, with efficiencies reaching 93.1% and 91.9%. These results emphasize the potential of enhancing PV system efficiency for real applications.
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Copyright (c) 2026 Amgad Naji Ali Ahmed, Dheyaalhaq Alkebsi, Radhwan Albouthaigy, György Györök
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