Photovoltaic Parameters Identification Using Optimization Algorithm

Abstract

Solar energy is regarded as an essential source of electricity generation. It is one of the renewable energy sources that have the potential for future energy applications. The optimization algorithms, such as the Electromagnetism-like (EM) algorithm is suitable for tackling numerous optimization problems. The EM algorithm has the ability to handle nonlinear functions, and it is imagined to be extremely productive for the parameters estimation of a photovoltaic (PV) module. Different values of control parameters of the method have been tested in this paper. This is done to demonstrate the impact of every parameter on the performance of the algorithm regarding the speed of convergence and precision. In every case of parameters, the algorithm can extract the photovoltaic model parameters. The objective function for every arrangement of values has been resolved and then contrasted with others in order to select the best case.