Hybrid African vultures–grey wolf optimizer approach for electrical parameters extraction of solar panel models

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