Performance of Golden Jackal Optimization Algorithm for Estimating Parameters of PV Solar Cells Models

Authors

  • Alaa A. K. Ismaeel Faculty of Computer Studies (FCS), Arab Open University (AOU) Oman, Muscat 130, Sultanate of Oman

Keywords:

Metaheuristic optimization, Golden Jackal Optimization algorithm, solar energy, renewable energy, photovoltaic models

Abstract

Solar radiation is becoming an increasingly popular source of clean energy. Photovoltaic (PV) panels, which house solar cells (SCs), are used in converting solar energy into electric energy. The classification of the current-voltage characteristic for PV models is considered as nonlinear. Because of the absence of information on manufacturers' datasheets for PV models, numerous parameters remain unclear. The precise determination of the inherent properties of SCs is necessary for the accurate design of PV systems. Several algorithms have been put forth to optimize these devices' parameters. Research in this area faces two challenges: identifying a model to distinguish SCs and addressing the lack of accessibility to data on PV cells. While various methods have been implemented in parameters estimation of PV cells, their results normally suffer from inaccuracies. This paper demonstrates the efficiency and precision of the Golden Jackal Optimization (GJO) metaheuristic technique in estimating the parameters of PV SCs different models. Three commonly used SCs models; the single-diode solar cell model (SDSCM), the double-diode solar cell model (DDSCM), and the triple-diode solar cell model (TDSCM) were utilized to showcase the GJO's ability to estimate the values of the parameters of SCs models. The values obtained were compared with those generated by several reliable optimization methods, including the Tunicate Swarm Algorithm (TSA), Osprey Optimization Algorithm (OOA), Harris Hawk's Optimization (HHO), Rime-Ice Algorithm (RIME), Chimp Optimization Algorithm (ChOA), and Grey Wolf Optimization (GWO), using data from the R.T.C France SC. The experimental results and relative analysis show that the GJO exhibited a better level of accuracy in estimating SCs parameters than the other algorithms included in the experiments.

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Published

25.12.2023

How to Cite

Ismaeel , A. A. K. . (2023). Performance of Golden Jackal Optimization Algorithm for Estimating Parameters of PV Solar Cells Models. International Journal of Intelligent Systems and Applications in Engineering, 12(2), 365–383. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4280

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Research Article