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Enhancing Sustainability in Renewable Energy: Comparative Analysis of Optimization Algorithms for Accurate PV Parameter Estimation

Author

Listed:
  • Hanaa Fathi

    (College of Information Technology, Amman Arab University, Amman 11953, Jordan)

  • Deema Mohammed Alsekait

    (Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia)

  • Arar Al Tawil

    (Faculty of Information Technology, Applied Science Private University, Amman 11931, Jordan)

  • Israa Wahbi Kamal

    (College of Information Technology, Amman Arab University, Amman 11953, Jordan)

  • Mohammad Sameer Aloun

    (College of Information Technology, Amman Arab University, Amman 11953, Jordan)

  • Ibrahim I. M. Manhrawy

    (Faculty of Information Technology, Applied Science Private University, Amman 11931, Jordan)

Abstract

This study presents a comparative analysis of various optimization algorithms—Differential Evolution (DE), Particle Swarm Optimization (PSO), Arithmetic Optimization Algorithm (AOA), and Hippopotamus Optimization Algorithm (HOA)—for parameter identification in photovoltaic (PV) models. By utilizing RTC France solar cell data, we demonstrate that accurate parameter estimation is crucial for enhancing the efficiency of PV systems, ultimately supporting sustainable energy solutions. Our results indicate that DE achieves the lowest root mean square error (RMSE) of 0.0001 for the double-diode model (DDM), outperforming other methods in terms of accuracy and convergence speed. Both the HOA and PSO also show competitive RMSE values, underscoring their effectiveness in optimizing parameters for PV models. This research not only contributes to improved PV model precision but also aids in the broader effort to advance renewable energy technologies, thereby fostering a more sustainable future.

Suggested Citation

  • Hanaa Fathi & Deema Mohammed Alsekait & Arar Al Tawil & Israa Wahbi Kamal & Mohammad Sameer Aloun & Ibrahim I. M. Manhrawy, 2025. "Enhancing Sustainability in Renewable Energy: Comparative Analysis of Optimization Algorithms for Accurate PV Parameter Estimation," Sustainability, MDPI, vol. 17(6), pages 1-17, March.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:6:p:2718-:d:1615498
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    References listed on IDEAS

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    1. Eldin, S.A. Sharaf & Abd-Elhady, M.S. & Kandil, H.A., 2016. "Feasibility of solar tracking systems for PV panels in hot and cold regions," Renewable Energy, Elsevier, vol. 85(C), pages 228-233.
    2. George E. Halkos & Eleni-Christina Gkampoura, 2020. "Reviewing Usage, Potentials, and Limitations of Renewable Energy Sources," Energies, MDPI, vol. 13(11), pages 1-19, June.
    3. Hashim, Fatma A. & Houssein, Essam H. & Hussain, Kashif & Mabrouk, Mai S. & Al-Atabany, Walid, 2022. "Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 192(C), pages 84-110.
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    Cited by:

    1. En-Jui Liu & Rou-Wen Chen & Qing-An Wang & Wan-Ling Lu, 2025. "Shuffled Puma Optimizer for Parameter Extraction and Sensitivity Analysis in Photovoltaic Models," Energies, MDPI, vol. 18(15), pages 1-25, July.

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