Optimizing Maximum Power Point Tracking Efficiency: Fuzzy Logic-Based Adaptive Step Size Control in the Perturb and Observe Algorithm

Fuad Alhaj Omar

doi:10.5152/tepes.2025.25022

Optimizing Maximum Power Point Tracking Efficiency: Fuzzy Logic-Based Adaptive Step Size Control in the Perturb and Observe Algorithm

Abstract

This paper proposes an enhanced Maximum Power Point Tracking (MPPT) technique for photovoltaic (PV) systems by integrating a fuzzy logic controller (FLC) with a dynamically tuned step size. Unlike conventional methods, the developed approach utilizes the ratio of power and voltage variations (ΔP/ΔV) as the basis for adjusting the duty cycle through a customized fuzzy rule base. This design enables precise and stable tracking of the maximum power point (MPP) even under rapidly changing irradiance and temperature conditions. The algorithm was validated through MATLAB/Simulink simulations using a 100W PV module and a DC–DC boost converter. Two test scenarios were employed: one with stepwise irradiance variations between (0.2–1.0 kW/m²) and another with temperature shifts between (0–75°C). Results demonstrated that the proposed FL-based MPPT algorithm significantly outperforms the classical fixed-step P&O method. Notably, it achieved lower power ripple (0.05% vs. 0.4%), reduced overshoot (2.3% vs. 4.1%), and faster response time (0.1 s vs. 0.25 s). The findings confirm that the tailored FLC, governed by ΔP/ΔV-driven inference, offers a more robust and adaptive MPPT strategy suitable for real-world PV deployment.

Keywords

References

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Details

Primary Language

English

Subjects

Photovoltaic Power Systems

Journal Section

Research Article

Authors

Fuad Alhaj Omar ^*
0000-0001-5969-2513
Türkiye

Publication Date

October 30, 2025

Submission Date

May 14, 2025

Acceptance Date

June 20, 2025

Published in Issue

Year 2025 Volume: 5 Number: 3

DOI

https://doi.org/10.5152/tepes.2025.25022

IZ

https://izlik.org/JA36KB57NY

Cite

RIS / Bibtex

APA

Alhaj Omar, F. (2025). Optimizing Maximum Power Point Tracking Efficiency: Fuzzy Logic-Based Adaptive Step Size Control in the Perturb and Observe Algorithm. Turkish Journal of Electrical Power and Energy Systems, 5(3), 206-215. https://doi.org/10.5152/tepes.2025.25022

AMA

1.Alhaj Omar F. Optimizing Maximum Power Point Tracking Efficiency: Fuzzy Logic-Based Adaptive Step Size Control in the Perturb and Observe Algorithm. TEPES. 2025;5(3):206-215. doi:10.5152/tepes.2025.25022

Chicago

Alhaj Omar, Fuad. 2025. “Optimizing Maximum Power Point Tracking Efficiency: Fuzzy Logic-Based Adaptive Step Size Control in the Perturb and Observe Algorithm”. Turkish Journal of Electrical Power and Energy Systems 5 (3): 206-15. https://doi.org/10.5152/tepes.2025.25022.

EndNote

Alhaj Omar F (October 1, 2025) Optimizing Maximum Power Point Tracking Efficiency: Fuzzy Logic-Based Adaptive Step Size Control in the Perturb and Observe Algorithm. Turkish Journal of Electrical Power and Energy Systems 5 3 206–215.

IEEE

[1]F. Alhaj Omar, “Optimizing Maximum Power Point Tracking Efficiency: Fuzzy Logic-Based Adaptive Step Size Control in the Perturb and Observe Algorithm”, TEPES, vol. 5, no. 3, pp. 206–215, Oct. 2025, doi: 10.5152/tepes.2025.25022.

ISNAD

Alhaj Omar, Fuad. “Optimizing Maximum Power Point Tracking Efficiency: Fuzzy Logic-Based Adaptive Step Size Control in the Perturb and Observe Algorithm”. Turkish Journal of Electrical Power and Energy Systems 5/3 (October 1, 2025): 206-215. https://doi.org/10.5152/tepes.2025.25022.

JAMA

1.Alhaj Omar F. Optimizing Maximum Power Point Tracking Efficiency: Fuzzy Logic-Based Adaptive Step Size Control in the Perturb and Observe Algorithm. TEPES. 2025;5:206–215.

MLA

Alhaj Omar, Fuad. “Optimizing Maximum Power Point Tracking Efficiency: Fuzzy Logic-Based Adaptive Step Size Control in the Perturb and Observe Algorithm”. Turkish Journal of Electrical Power and Energy Systems, vol. 5, no. 3, Oct. 2025, pp. 206-15, doi:10.5152/tepes.2025.25022.

Vancouver

1.Fuad Alhaj Omar. Optimizing Maximum Power Point Tracking Efficiency: Fuzzy Logic-Based Adaptive Step Size Control in the Perturb and Observe Algorithm. TEPES. 2025 Oct. 1;5(3):206-15. doi:10.5152/tepes.2025.25022