Rapid, Precise Parameter Optimization and Performance Prediction for Multi-Diode Photovoltaic Model Using Puma Optimizer DOI Creative Commons
En-Jui Liu,

Yanhao Huang,

Chin‐Yu Lin

и другие.

Energies, Год журнала: 2025, Номер 18(11), С. 2855 - 2855

Опубликована: Май 29, 2025

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

Язык: Английский

Performance Assessment of Modern Distribution Networks Conjoined with Electric Vehicles in Normal and Faulty Conditions DOI Creative Commons
Abdullah M. Shaheen,

Aya R. Ellien,

Ali M. El‐Rifaie

и другие.

Scientific African, Год журнала: 2025, Номер unknown, С. e02630 - e02630

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1
Photovoltaic Power Generation Forecasting With Bayesian Optimization and Stacked Ensemble Learning DOI Creative Commons

Mohamed A. Atiea,

Abdelrhman A. Abdelghaffar,

Houssem Ben Aribia

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104950 - 104950

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Rapid, Precise Parameter Optimization and Performance Prediction for Multi-Diode Photovoltaic Model Using Puma Optimizer DOI Creative Commons
En-Jui Liu,

Yanhao Huang,

Chin‐Yu Lin

и другие.

Energies, Год журнала: 2025, Номер 18(11), С. 2855 - 2855

Опубликована: Май 29, 2025

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

Язык: Английский

Процитировано

0