A Novel Improved Sparrow Search Algorithm for Parameters Extraction in Three-Diode PV Model

To accommodate the growing adoption of solar power stations, specific electrical modeling of PV cells is essential.Hence, researchers proposed a TDM for accurate PV loss modeling.The greater nonlinearity and characteristics of this TDM.Yet render it a more complicated challenging concept.Thus, it is essential to generate as much power as feasible from both solar as well as wind sources.On the other hand, the majority of the functional aspects of MPPT algorithms used today are unsuitable for the hybrid operation of wind as well as solar energy systems.To derive the nine unknown parameters of the TDM-PV modules, this research demonstrates a unique ESSA strategy.The major goals of this study are to evolve an incredibly specific PV representation that can effectively describe PV systems in the modeling of dynamical energy systems and to evaluate the parameters of TDM using a new optimization technique.The RMSE error between the calculated as well as experimental current of the PV module is taken into account during the formulation of the optimization challenge.The outcomes of ESSA are contrasted with the most current methodologies in the literature to validate the effectiveness ofextracting the parameters of the PV model.The outcomes display that the created method achieves the finestoutput with the least RMSE, mean, and standard deviation.