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A novel hybrid approach combining Differentiated Creative Search with adaptive refinement for photovoltaic parameter extraction

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  • Chermite, Charaf
  • Douiri, Moulay Rachid

Abstract

Accurate parameter extraction from Photovoltaic (PV) models using current-voltage (I-V) data is essential for optimizing and simulating photovoltaic systems. Despite the existence of various techniques, many face challenges in achieving a balance between precision, robustness, computational efficiency, and execution time. In this paper, we present a novel hybrid algorithm, Differentiated Creative Search combined with Newton-Raphson (DCS-NR), designed to improve the accuracy and efficiency of PV parameter extraction. DCS employs a dual-strategy mechanism that balances exploration and exploitation through divergent and convergent thinking, ensuring a comprehensive search for solutions. The Newton-Raphson method further refines the parameters optimized by DCS, minimizing the discrepancy between estimated and measured currents, and consequently improving power estimation. The proposed approach is evaluated on three distinct models: Single Diode Model (SDM), Double Diode Model (DDM), and PV Module Model (PMM). Among the different models tested, DCS-NR consistently delivers superior accuracy. For example, it achieves an RMSE of 7.75392 × E−04 for the RTC France SDM and 1.77454 × E−04 for the PVM 752 cell, outperforming ten state-of-the-art metaheuristic algorithms. Moreover, DCS-NR demonstrates remarkable computational efficiency, requiring only 0.830 s on average for the RTC France SDM, which is considerably faster than algorithms such as Flying Foxes Optimization (251.5 s). Furthermore, it proves highly effective in real-world conditions, under varying irradiance and constant temperature, as well as vice versa. The method consistently converges within approximately 100 iterations, showcasing rapid optimization capabilities. These findings highlight the potential of DCS-NR as a powerful and versatile tool for photovoltaic parameter extraction, capable of addressing diverse and challenging scenarios.

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  • Chermite, Charaf & Douiri, Moulay Rachid, 2025. "A novel hybrid approach combining Differentiated Creative Search with adaptive refinement for photovoltaic parameter extraction," Renewable Energy, Elsevier, vol. 245(C).
    • Handle: RePEc:eee:renene:v:245:y:2025:i:c:s0960148125004264
    DOI: 10.1016/j.renene.2025.122764
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    References listed on IDEAS

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    1. Radouane Aalloul & Abdellah Elaissaoui & Mourad Benlattar & Rhma Adhiri, 2023. "Emerging Parameters Extraction Method of PV Modules Based on the Survival Strategies of Flying Foxes Optimization (FFO)," Energies, MDPI, vol. 16(8), pages 1-24, April.
    2. Houssem Ben Aribia & Ali M. El-Rifaie & Mohamed A. Tolba & Abdullah Shaheen & Ghareeb Moustafa & Fahmi Elsayed & Mostafa Elshahed, 2023. "Growth Optimizer for Parameter Identification of Solar Photovoltaic Cells and Modules," Sustainability, MDPI, vol. 15(10), pages 1-26, May.
    3. Feng, Junjie & Zeng, Xia & Zhang, Baoqin & Liu, Jiahui & Xu, Chuanzhong & Yu, Fei, 2024. "An analytical and adaptive method for solar photovoltaic modules parameters extraction," Renewable Energy, Elsevier, vol. 236(C).
    4. Yu, Kunjie & Qu, Boyang & Yue, Caitong & Ge, Shilei & Chen, Xu & Liang, Jing, 2019. "A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module," Applied Energy, Elsevier, vol. 237(C), pages 241-257.
    5. Habib Satria & Rahmad B. Y. Syah & Moncef L. Nehdi & Monjee K. Almustafa & Abdelrahman Omer Idris Adam, 2023. "Parameters Identification of Solar PV Using Hybrid Chaotic Northern Goshawk and Pattern Search," Sustainability, MDPI, vol. 15(6), pages 1-24, March.
    6. Zhou, Junfeng & Zhang, Yanhui & Zhang, Yubo & Shang, Wen-Long & Yang, Zhile & Feng, Wei, 2022. "Parameters identification of photovoltaic models using a differential evolution algorithm based on elite and obsolete dynamic learning," Applied Energy, Elsevier, vol. 314(C).
    7. El-Dabah, Mahmoud A. & El-Sehiemy, Ragab A. & Hasanien, Hany M. & Saad, Bahaa, 2023. "Photovoltaic model parameters identification using Northern Goshawk Optimization algorithm," Energy, Elsevier, vol. 262(PB).
    8. Shaheen, Abdullah M. & Ginidi, Ahmed R. & El-Sehiemy, Ragab A. & El-Fergany, Attia & Elsayed, Abdallah M., 2023. "Optimal parameters extraction of photovoltaic triple diode model using an enhanced artificial gorilla troops optimizer," Energy, Elsevier, vol. 283(C).
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