Parameters identification of photovoltaic cell models using the gradient iterative

Abstract

This article studies the parameter estimation to the photovoltaic cell (PV) models. Introducing the gradient search principle, a gradient-based iterative algorithm is derived to determine PV models. This proposed algorithm implements the parameter estimation for the single-diode equivalent circuit of the PV models. Furthermore, to enhance computational efficiency, a model transformation-based iterative method is proposed. Finally, the simulation test results indicate that the gradient-based iterative algorithm is effective.