Research and Simulation Using MPPT Fuzzy Logic Research Algorithm to Optimize PV Solar Power

Online First: 18/08/2026

Authors

Corressponding author's email:

hienlt@huit.edu.vn

DOI:

https://doi.org/10.54644/jte.2026.2010

Keywords:

Photovoltaic (PV) system, Solar energy conversion efficiency, Power electronics (DC-DC converter), Fuzzy Logic Controller (FLC), Maximum Power Point Tracking (MPPT)

Abstract

Research and Simulation Using the Maximum Power Point Tracking (MPPT) Fuzzy Logic Algorithm to Optimize the Power of Photovoltaic (PV) Solar Arrays represents an advanced approach in solar energy optimization. The MPPT algorithm allows automatic adjustment of the PV array’s operating point to achieve maximum energy conversion under fluctuating sunlight and temperature conditions. By integrating a Fuzzy Logic Controller (FLC), the system processes input parameters such as voltage and current to determine the most efficient control signals. Compared to conventional methods like Perturb and Observe (P&O), the fuzzy-based MPPT provides faster response, reduced oscillations, and improved accuracy in identifying the optimal point. Simulation using MATLAB/Simulink enables evaluation and fine-tuning of controller performance under dynamic weather scenarios. The results demonstrate enhanced energy conversion efficiency, stability, and reliability, supporting the broader goal of developing intelligent, adaptive, and sustainable photovoltaic systems for modern renewable energy applications.

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Author Biographies

Hien-Thanh Le, Ho Chi Minh City University of Industry and Trade, Vietnam

Hien-Thanh Le is a lecturer at the Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Industry and Trade, Vietnam. He earned his Ph.D. degree in Electrical Engineering from National Kaohsiung University of Science and Technology, Taiwan. With extensive experience in both academic research and industrial applications, his work spans a wide range of topics in electrical and energy engineering. His research interests focus on optical system design, LED backlighting technologies, automotive lighting systems, and advanced optical films. He is particularly dedicated to enhancing light distribution performance and improving energy efficiency in vehicle lighting through the application of prism films and microstructured surface technologies. In the field of renewable energy, Dr. Le is actively engaged in research on hydrogen production, fuel cell technologies-especially Proton Exchange Membrane (PEM) fuel cells and maximum power point tracking (MPPT) techniques for solar photovoltaic systems. By integrating expertise from electrical engineering, materials science, and sustainable energy technologies, Dr. Le contributes to the development of intelligent, energy-efficient, and environmentally sustainable lighting and power systems. For correspondence, he can be contacted via:

Email: hienlt@huit.edu.vn. ORCID:  https://orcid.org/0000-0002-1380-3406. Tel.: +84 876 555 577

Dung-Quoc Pham, Ho Chi Minh City University of Industry and Trade, Vietnam

Dung-Quoc Pham is currently an electrical engineer at Viettel Network Corporation and graduate student in Electrical Engineering at Ho Chi Minh City University of Industry and Trade. He graduated with a Bachelor's degree from Ho Chi Minh City University of Technology. His research focuses on energy efficiency, especially the Research and Simulation Using MPPT Fuzzy Logic Research Algorithm To Optimize PV Solar Power. His contact is via:

Email: 1002240001@huit.edu.vn. ORCID:  https://orcid.org/0009-0002-2654-6741

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Published

18-08-2026

How to Cite

[1]
H.-T. Le and D.-Q. Pham, “Research and Simulation Using MPPT Fuzzy Logic Research Algorithm to Optimize PV Solar Power: Online First: 18/08/2026”, JTE, Aug. 2026.

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2026: Articles in Press

Section

Research Article

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