An Intelligent Hybrid MPPT Strategy Combining Fuzzy Logic and Perturb & Observe Algorithms

Authors

  • Abdulkarim A. Hudoud Computer and systems Engineering Department, Engineering Faculty, Azzaytuna University, Tarhuna, Libya Author
  • Tareq N. Elgargani Electrical and Computer Engineering Department, Faculty of Engineering, Elmergib University, Alkhums, Libya Author
  • Nabil M. Elmahjoub General Electricity Company of Libya, Tripoli, Libya Author
  • Nuradeen k. Fethalla Electrical and Computer Engineering Department, Faculty of Engineering, Elmergib University, Alkhums, Libya Author

DOI:

https://doi.org/10.35778/jazu.i56.a649

Keywords:

PV Cell, DC-DC Boost converter, Perturb and Observe algorithm, Fuzzy Logic Controller

Abstract

This paper investigates methods for enhancing the operational efficiency of photovoltaic systems, particularly given that their maximum power output is sensitive to fluctuations in temperature and solar irradiance. To mitigate this variability, Maximum Power Point Tracking algorithms are routinely utilized. This research evaluates diverse MPPT methodologies and proposes an innovative hybrid strategy that amalgamates the conventional Perturb and Observe (P&O) algorithm with a Fuzzy Logic Controller. This proposed hybrid method seeks to combine the rapid response of a large perturbation step with the stability and minimal oscillation associated with a small perturbation step. A photovoltaic system model, encompassing a solar module and a DC-DC converter was developed and simulated using MATLAB/Simulink. The findings confirm the efficacy of MPPT techniques in extracting maximum power. Significantly, the proposed FLC-P&O method exhibits a notable reduction the oscillation of power around the maximum power point compared to the traditional P&O method, while concurrently maintaining a swift response. The study concludes that this hybrid FLC-P&O method offers superior performance, characterized by rapid convergence and minimal steady-state oscillation.

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Author Biographies

  • Abdulkarim A. Hudoud , Computer and systems Engineering Department, Engineering Faculty, Azzaytuna University, Tarhuna, Libya

    Abdulkarim A. Hudoud currently is a faculty member in the Computer and Systems Engineering Department at Azzaytuna University, Tarhuna, Libya. In 2014, he received his Master of Science degree (MSc.) in Electrical and Computer Engineering in control systems from Libyan Academy, Tripoli, Libya, In 2000. He obtained Bachelor’s degree in control systems engineering from College of Electronic Technology – Bani Walid, Libya. He has taught many courses for ten years from 2001 to 2011, in different institutes in Libya. He has published three Scientific Papers

  • Tareq N. Elgargani, Electrical and Computer Engineering Department, Faculty of Engineering, Elmergib University, Alkhums, Libya

    Tareq N. Elgargani currently is a faculty member in the Electrical and Computer Engineering Department at Elmergib University, Alkhums, Libya. In 2014, he received his Master of Science degree (MSc.) in Electrical and Computer Engineering in control systems from Libyan Academy, Tripoli, Libya, In 1998. He obtained Bachelor’s degree in control systems engineering from Bright Star University – BREGA, Libya. He has taught many courses for ten years from 2016 to 2025, in Elmergib University, Libya. Previously, he worked as an Engineer in GECOL Company from 2001 to 2016.

  • Nabil M. Elmahjoub, General Electricity Company of Libya, Tripoli, Libya

     Nabil M. Elmahjoub- Currently is a consultant in General Electricty Company of Libya (GECOL). He received the B.T. degree in Electrical Engineering (Power&T.L.) from Higher Institute of Mechanical and Electrical Engineering- Libya- Hoon, 1989, Master degree in Electrical power system (Planning System) from Libyan Academic- Tripoli, 2007 and PhD in Electrical power system (Control of Solar energy) from Singidunum University -Belgrade, 2018. Since 2008 he worked in the field of implementation of steam and gas turbine power plant projects as site manager, project manager in different power plant projects and as a manager of gas turbine power plant projects department then as a consultant in the same sector. He has good experience working with different electrical engineering software and projects programs such as Neplan, ETAP, Primavera and AutoCAD.

  • Nuradeen k. Fethalla, Electrical and Computer Engineering Department, Faculty of Engineering, Elmergib University, Alkhums, Libya

    Nuradeen Khalifa Fethalla: received the B.S. degree from the Electrical and Computer Engineering Department, Elmergib University, Alkhums, Libya, and the M.Eng. degree from the Electrical and Computer Engineering Department, Concordia University, Montreal, Canada, in in 2005 and 2012, respectively, and PhD degree in the Electronic and Electric Engineering Department, École de technologie supérieure, Montreal in 2019. He is currently a lecturer in the Faculty of Engineering, Elmergib University, Alkhums, Libya. His research interests include nonlinear control system, Robotics and Mechatronic systems, and control of unmanned aerial system.

References

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Published

2025-12-31

Issue

No. 56 (2025): Journal of Azzaytuna University

Section

Articles

License

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Hudoud , A., Elgargani, T., Elmahjoub, N., & Fethalla, N. (2025). An Intelligent Hybrid MPPT Strategy Combining Fuzzy Logic and Perturb & Observe Algorithms. Journal of Azzaytuna University, 56, 112-129. https://doi.org/10.35778/jazu.i56.a649

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