Rapid, Precise Parameter Optimization and Performance Prediction for Multi-Diode Photovoltaic Model Using Puma Optimizer

En-Jui Liu (), Yan-Hao Huang (), Wei-Lun Lin, Chen-Kai Wen and Chun-I Lin
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En-Jui Liu: Department of Green Energy and Information Technology, National Taitung University, Taitung 95092, Taiwan
Yan-Hao Huang: Department of Green Energy and Information Technology, National Taitung University, Taitung 95092, Taiwan
Wei-Lun Lin: Department of Green Energy and Information Technology, National Taitung University, Taitung 95092, Taiwan
Chen-Kai Wen: Department of Green Energy and Information Technology, National Taitung University, Taitung 95092, Taiwan
Chun-I Lin: Department of Green Energy and Information Technology, National Taitung University, Taitung 95092, Taiwan

Energies, 2025, vol. 18, issue 11, 1-31

Abstract: Photovoltaic (PV) technology is essential for achieving net-zero emissions by 2050. PV system efficiency is highly sensitive to irradiance, temperature, and shading. However, accurate parameter identification is critical for modeling, as PV models often exhibit multi-modal and strongly coupled characteristics. In addition, commercial datasheets typically lack sufficient parameter information, making precise parameter extraction difficult and limiting the accuracy of maximum power point predictions. To address these challenges, this research employs a novel metaheuristic algorithm called Puma Optimizer (PO) to optimize the parameters of multiple PV models. The PO’s performance is benchmarked against four advanced metaheuristic algorithms using convergence curves, error bars, and boxplots to evaluate its robustness. Results show that PO demonstrates strong adaptability and reliable performance in PV parameter optimization. Lastly, the research analyzes parameter sensitivity to help reduce computational resource usage. Visual analysis confirms that the PO parameter optimization approach provides an effective and practical solution for enhanced energy management and stable grid integration as solar adoption continues to expand.

Keywords: photovoltaic system; puma optimizer; multi-diode model; parameter optimization; maximum power point; parameter sensitivity (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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