Hybrid African vultures–grey wolf optimizer approach for electrical parameters extraction of solar panel models. (November 2022)

• Record Type: Journal Article
• Authors: Soliman, Mahmoud A.; Hasanien, Hany M.; Turky, Rania A.; Muyeen, S.M.
• Is Part Of: Energy reports. Volume 8(2022)
• Page Start: 14888
• Page End: 14900
• Publication Date: 2022-11
• Subjects: Hybrid African vultures–grey wolf optimizer approach -- Photovoltaic modeling -- PV parameters extraction -- Solar energy -- Three-diode model; Power resources -- Periodicals; Energy industries -- Periodicals; Power resources; Periodicals; Electronic journals; 621.04205
• DOI: 10.1016/j.egyr.2022.10.401
• Languages: English
• ISSNs: 2352-4847

Abstract

Abstract: Three-diode model (TDM) of photovoltaic (PV) cells is a significantly precise model that addresses the electrical and optical losses in such PVs. Due to its nonlinearity and multivariable characteristics, the TDM is a complex and debatable PV model. This article proposes a novel hybrid African vultures–grey wolf optimizer (AV–GWO) approach to precisely estimate the electrical parameters of such TDM. The AVO is a novel meta-heuristic approach inspired by African vultures' behavior in nature. In the hybrid approach offered, the vultures' updating position formula of the AVO is applied to update the key-group parameters in GWO, resulting in an enhanced GWO approach. A new objective function that depends on the current error is proposed in this study, which the AV–GWO minimizes to precisely estimate the optimal nine parameters of such TDM. The nine electrical parameters attained through the hybrid AV–GWO approach are compared with that obtained via other meta-heuristic methods. In that regard, the AV–GWO approach has achieved superior and outstanding outcomes. For more realistic studies, the offered AV–GWO is efficiently utilized to design the optimal parameters of TDM for two industrial KC200GT and MSX-60 PV cells. In the optimization process, the hybrid AV–GWO has recorded the lowest optimal fitness values of 8.475e − 13 and 7.412e − 12 for KC200GT and MSX-60, respectively. Additionally, the AV–GWO has recorded the shortest computing time in 0.43412 (s) and 0.3142 (s) for KC200GT and MSX-60, respectively, which reflects its rapid convergence, supremacy, and stability, among other approaches. Those PV cells' modeled I-V and P-V curves closely coincide with the real data measured under various climatic conditions. The error between these results is less than 0.4%. The high performance of the hybrid AV–GWO​ approach-based TDM is verified by examining its absolute current error with that realized from other PV models. Consequently, the outcomes have depicted that the offered AV–GWO approach is superior and can be used to generate a precise PV model of any industrial PV cell, which is a unique addition to the PVs market. Graphical abstract: Highlights: Three-diode model of PV modules is proposed in this paper. A novel hybrid AV–GWO approach is applied to extract the PV model parameters. Parameters of hybrid AV-GWO-based TDM are compared with other optimization-based TDM. The hybrid AV-GWO-based TDM is verified by comparing its results with measured data. The error among these results is less than 0.4%.