An Efficient Electric Charged Particles Optimization Algorithm for Numerical Optimization and Optimal Estimation of Photovoltaic Models

The electric charged particles optimization (ECPO) technique is inspired by the interaction (exerted forces) between electrically particles. A developed version of ECPO called MECPO suggested in this article to enhance capability searching and balancing exploitation exploration phases conventional ECPO. To let search agent jumps out from local optimum avoid stagnation proposed MECPO, three different strategies ECPs are modified conjunction with Therefore, convergence rate enhanced reaches rapidly optimal solution. evaluate effectiveness it executed on test functions CEC’17. Furthermore, estimate parameters photovoltaic models, such as single-diode model (SDM), double-diode (DDM), triple-diode (TDM). simulation results illustrate validation extracting models.