Enhancing Performance solar energy with Fuzzy Logic-Based MPPT for DC Microgrid

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Published: Jun 30, 2025
Keywords:
Photovoltaic, Fuzzy logic, Maximum power point tracking, Microgrid

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Mohammed Abdulelah Albasheri
a:1:{s:5:"en_US";s:108:"Laboratoire de Recherche en Electrotechnique et Automatique, Departement of Technlogy, University of Médéa";}

Abstract

The rising demand for sustainable energy has elevated the importance of photovoltaic (PV) systems in renewable energy applications due to their environmental benefits and scalability. However, the efficiency of PV systems is significantly influenced by external factors such as irradiance and temperature, necessitating effective Maximum Power Point Tracking (MPPT) techniques. This study investigates the implementation and performance of fuzzy logic-based MPPT in a DC microgrid comprising PV systems and battery storage, comparing it with traditional MPPT Perturb and Observe (P&O). Simulation results reveal that fuzzy logic-based MPPT offers superior adaptability, faster convergence to the Maximum Power Point (MPP), and reduced steady-state oscillations under dynamic conditions. Key performance metrics—including PV power output, power balance, battery state of charge (SOC), and DC link voltage stability—demonstrate the effectiveness of fuzzy logic-based MPPT in enhancing energy efficiency, system reliability, and battery longevity. This research underscores the pivotal role of fuzzy logic in overcoming traditional MPPT limitations, particularly in scenarios with rapid environmental changes, and highlights its potential for advancing renewable energy systems integrated with battery storage in DC microgrids.

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How to Cite
Albasheri, M. A. (2025). Enhancing Performance solar energy with Fuzzy Logic-Based MPPT for DC Microgrid. Journal of Applied Energies, 4(1). Retrieved from https://revues.cuniv-naama.dz/index.php/jae/article/view/26
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Vol. 4 No. 1 (2025): Volume 4 Issue 1 (2025)
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Articles

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