Performance Optimization of Photovoltaic Systems in Yemeni Cities: A Comparative Analysis of Fuzzy Logic and Perturb & Observe MPPT under Environmental Variability

  IJRES-book-cover  International Journal of Recent Engineering Science (IJRES)   
  
© 2025 by IJRES Journal
Volume-12 Issue-2
Year of Publication : 2025
Authors : Radwan M. AL Bouthigy, Dheyaalhaq T. Alkebsi
DOI : 10.14445/23497157/IJRES-V12I2P111

How to Cite?

Radwan M. AL Bouthigy, Dheyaalhaq T. Alkebsi, "Performance Optimization of Photovoltaic Systems in Yemeni Cities: A Comparative Analysis of Fuzzy Logic and Perturb & Observe MPPT under Environmental Variability," International Journal of Recent Engineering Science, vol. 12, no. 2, pp. 104-113, 2025. Crossref, https://doi.org/10.14445/23497157/IJRES-V12I2P111

Abstract
Environmental conditions greatly influence the operational efficiency, lifespan, and reliability of solar photovoltaic (PV) systems. This study exhaustively examines the impact of thermal fluctuations and solar irradiance variation on the performance of PV systems in selected Yemeni cities. A MATLAB-based simulation environment is developed to study the system behavior under these dynamic environmental conditions, exploiting the latest computational techniques. A comparative study of the Fuzzy Logic Controller (FLC) and the conventional Perturb & Observe (P&O) maximum power point tracking (MPPT) algorithm is presented in detail. It is noted that FLC is more adaptive, with 2–5% efficiency improvement and faster convergence against environmental perturbations. The study also examines the effects of these differences on energy yield, conversion efficiency, and system stability in general. By integrating intelligent control strategies, this research underscores the potential of new MPPT methods in optimizing the harnessing of solar energy in the face of Yemen's hostile climatic conditions. The findings suggest the deployment of intelligent energy management systems to enhance the robustness of PV systems, ensuring enhanced performance and sustainability under desert conditions.

Keywords
Environmental condition, solar irradiation, Temperature, photovoltaic system, Maximum Power Point Tracking, Fuzzy Logic Controller (FLC), MATLAB Environment and Yemen.

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