Parameter Extraction of Three Diode Solar Photovoltaic Model Using Improved Grey Wolf Optimizer

The enhancement of photovoltaic (PV) energy systems relies on an accurate PV model. Researchers have made significant efforts to extract parameters due their nonlinear characteristics the system, and lake information from manufactures’ system datasheet. estimation using optimization algorithms is a challenging problem in which wide range research has been conducted. idea behind this challenge selection proper model algorithm estimate In paper, new application improved gray wolf optimizer (I-GWO) proposed parameters’ values that achieve three diode (TDM) perfect robust manner. TDM developed represent effect grain boundaries large leakage current system. I-GWO with aim improving population, exploration exploitation balance convergence original GWO. performance compared other well-known algorithms. evaluated through two different applications. first application, real data RTC furnace applied second one, PTW polycrystalline panel applied. results are evaluation factors (root mean square error (RMSE), absolute statistical analysis for multiple independent runs). achieved lowest RMSE comparison applications 0.00098331 0.0024276, respectively. Based quantitative qualitative evaluation, it can be concluded estimated by more than those obtained studied