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

المؤلفون

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

DOI:

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

الكلمات المفتاحية:

الخلية الكهروضوئية (PV)، محول تيار مستمر- تيار مستمر، خوارزمية الاضطراب والمراقبة، متحكم المنطقي الضبابي.

الملخص

تبحث هذه الورقة في طرق تعزيز الكفاءة التشغيلية لأنظمة الطاقة الكهروضوئية، خاصةً بالنظر إلى أن الحد الأقصى لقدرة إنتاجها يتأثر بتقلبات درجات الحرارة وشدة الإشعاع الشمسي. وللتقليل من هذا التغير يتم استخدام خوارزميات تتبع نقطة القدرة القصوى بشكل روتيني. يقوم هذا البحث بتقييم منهجيات (MPPT) المختلفة ويقترح استراتيجية هجينة مبتكرة تجمع بين خوارزمية "التحوير والملاحظة" التقليدية (P&O) ووحدة تحكم بالمنطق الضبابي. تهدف هذه الطريقة الهجينة المقترحة إلى الجمع بين سرعة الاستجابة الناتجة عن خطوة تحوير كبيرة مع الاستقرار والتذبذب الطفيف المرتبطين بخطوة تحوير صغيرة. تم تطوير نموذج لنظام كهروضوئي يشتمل على وحدة شمسية ومحول تيار مستمر-تيار مستمر، وتمت محاكاته باستخدام برنامج (MATLAB/Simulink) . تؤكد النتائج فعالية تقنيات (MPPT) في استخراج القدرة القصوى. والأهم من ذلك أن الطريقة المقترحة (FLC-P&O) أظهرت انخفاضاً ملحوظاً في تذبذب القدرة حول نقطة القدرة القصوى مقارنة بالطريقة التقليدية (P&O) ، مع الحفاظ في الوقت نفسه على سرعة الاستجابة. وتخلص الدراسة إلى أن هذه الطريقة الهجينة (FLC-P&O) توفر أداءً متفوقاً يتميز بسرعة التقارب وانخفاض التذبذب في حالة الاستقرار.

التنزيلات

تنزيل البيانات ليس متاحًا بعد.

السير الشخصية للمؤلفين

  • Abdulkarim 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 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 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 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.

المراجع

[1] Shawon, Sarowar Morshed, Armab Barua, and Jerin Sultana. "Navigating Solar Peaks: Simulation Study of Fuzzy Logic and Improved Perturb & Observe MPPT Techniques for Standalone PV Systems." 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT). IEEE, 2024.‏

[2] Remoaldo, Diogo, and Isabel Jesus. "Analysis of a traditional and a fuzzy logic enhanced perturb and observe algorithm for the MPPT of a photovoltaic system." Algorithms 14.1 (2021): 24.‏ https://doi.org/10.3390/a14010024

[3] Dabboussi, Mounir, Ali Hmidet, and Olfa Boubaker. "An efficient fuzzy logic MPPT control approach for solar PV system: A comparative analysis with the conventional perturb and observe technique." 2020 6th IEEE International Energy Conference (ENERGYCon). IEEE, 2020.‏Gao, Z. (2003). Scaling and Parameterization Based Controller Tuning. Proc. of the American Control Conference, pp. 4989-4996.

[4] Yacine Bouali , Khoukha Imarazene , and El Madjid Berkouk. “Performance Analysis of Maximum Power Point Tracking based on Perturb & Observe Algorithm and Fuzzy Logic Control’’. 10th Virtual International Conference on Science, Technology and Management in Energy (eNergetics 2024), Virtual. DOI: https://doi.org/10.5281/zenodo.14732729 ,

[5] Jafar, M. A., Zakaria, M. I., Dahlan, N. Y., Kamarudin, M. N., & El Fezazi, N."Enhancing photovoltaic system maximum power point tracking with fuzzy logic-based perturb and observe method." Int. J. Electr. Comput. Eng 14.3 (2024): 2386-2399. DOI:10.11591/ijece.v14i3.pp2386-2399 ‏

[6] Sukumar, G. D., Prasad, R. R., Vardhan, R. H., Pakkiraiah, B., & Krishna, C. L.“Fuzzy Controlled MPPT to Grid Connected PV Systems”. In E3S Web of Conferences (Vol. 616, p. 01010). EDP Sciences. (2025). .‏ https://doi.org/10.1051/e3sconf/202561601010

[7] Kumar, Rajesh, Ananyo Bhattacharya, and Aanchal Singh S. Vardhan. "Fuzzy Logic Controller and P&O-Based MPPT Techniques for Stand-Alone PV Systems: A Comparison." (2024).‏ DOI: https://doi.org/10.21203/rs.3.rs-4926323/v1

[8] Moussa, F. H. M. S., Morsli, A., Tlemçani, A., Belmili, H., & Nouri, H. “Performance analysis of perturb & observe, incremental conductance, and fuzzy logic MPPT controllers for grid-connected PV systems”.6th International Conference on Electrotechnics 2023– ETT/FGE/USTO-MB.

[9] Abbas, A., Farhan, M., Shahzad, M., Liaqat, R., & Ijaz, U. “Power Tracking and Performance Analysis of Hybrid Perturb–Observe, Particle Swarm Optimization, and Fuzzy Logic-Based Improved MPPT Control for Standalone PV System”. Technologies (2227-7080), 2025,13(3). https://doi.org/10.3390/technologies13030112

[10] Elnaghi, B. E., Ismaiel, A. M., Ismail, M. M., Zedan, H. A., & Salem, A. A.”Experimental validation of an adaptive fuzzy logic controller for MPPT of grid connected PV system”. Scientific Reports, 15(1) (2025):27173 https://doi.org/10.1038/s41598-025-10188-7

[11] Nabil Mohamed Elmahjoub, and Miroslav Dukic.“ Comparison of the Performances of different Maximum Power Point Tracking techniques used in PV Solar System,” A dissertation submitted in partial fulfillment Of the requirements for the degree of Doctor of Philosophy Department of Electrical and Computing Engineering Singidunum University, 2018.

[12] Melhaoui, M., Rhiat, M., Oukili, M., Atmane, I., Hirech, K., Bossoufi, B., ... & Alenezi, M. "Hybrid fuzzy logic approach for enhanced MPPT control in PV systems." Scientific Reports 15.1 (2025):19235. https://doi.org/10.1038/s41598-025-03154-w ‏

[13] N.J. Mlazi, M. Mayengo, G. Lyakurwa, B. Kichonge, Mathematical modeling and extraction of parameters of solar photovoltaic module based on modified Newton – Raphson method, Results Phys. 57 (2024) 107364, https://doi.org/10.1016/j.rinp.2024.107364

[14] A. Chellakhi, S. El Beid, Y. Abouelmahjoub, H. Doubabi, An enhanced incremental conductance MPPT approach for PV power optimization: a simulation and experimental study, Arabian J. Sci. Eng. 49 (2024) 16045–16064, https://doi.org/10.1007/s13369-024-08804-1.

[15] Akhil Nigam, Abhishek Kumar Gupta, "Performance and simulation between conventional and improved perturb & observe MPPT algorithm for solar PV cell using MATLAB/simulink", International Conference on Control, Computing, Communication and Materials (ICCCCM), 2016, University Moradabad, UP, India. DOI: 10.1109/ICCCCM.2016.7918220

التنزيلات

منشور

2025-12-31

إصدار

عدد 56 (2025): مجلة جامعة الزيتونة

القسم

Articles

الرخصة

Creative Commons License

هذا العمل مرخص بموجب Creative Commons Attribution 4.0 International License.

كيفية الاقتباس

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

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