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2022 ◽  
Vol 238 ◽  
pp. 111590
Nils Klasen ◽  
Friedemann Heinz ◽  
Angela De Rose ◽  
Torsten Roessler ◽  
Achim Kraft ◽  

Mahmoud Abbas El-Dabah ◽  
Ragab Abdelaziz El-Sehiemy ◽  
Mohamed Ahmed Ebrahim ◽  
Zuhair Alaas ◽  
Mohamed Mostafa Ramadan

This paper proposes the application of a novel metaphor-free population optimization based on the mathematics of the Runge Kutta method (RUN) for parameter extraction of a double-diode model of the unknown solar cell and photovoltaic (PV) module parameters. The RUN optimizer is employed to determine the seven unknown parameters of the two-diode model. Fitting the experimental data is the main objective of the extracted unknown parameters to develop a generic PV model. Consequently, the root means squared error (RMSE) between the measured and estimated data is considered as the primary objective function. The suggested objective function achieves the closeness degree between the estimated and experimental data. For getting the generic model, applications of the proposed RUN are carried out on two different commercial PV cells. To assess the proposed algorithm, a comprehensive comparison study is employed and compared with several well-matured optimization algorithms reported in the literature. Numerical simulations prove the high precision and fast response of the proposed RUN algorithm for solving multiple PV models. Added to that, the RUN can be considered as a good alternative optimization method for solving power systems optimization problems.

2022 ◽  
Vol 8 ◽  
pp. 1298-1308
Nasrin Solhtalab ◽  
Mohammad Hosein Mohammadi ◽  
Mehdi Eskandari ◽  
Davood Fathi

2022 ◽  
Vol 8 ◽  
pp. 904-910
Aina Gong ◽  
Yue Feng ◽  
Chi Liu ◽  
Jiaojiao Chen ◽  
Zhenjia Wang ◽  

Solar Energy ◽  
2022 ◽  
Vol 233 ◽  
pp. 1-10
Sanath Kumar Mishra ◽  
Srinibasa Padhy ◽  
Udai P. Singh

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