An improved method for SRC parameter estimation for the CEC PV module model

Abstract

This paper proposes a fast and accurate algorithm for the computation of the six parameters required by the California Energy Commission (CEC) six parameter photovoltaic (PV) module model (CEC6PPVMM). An up-to-date database of module characteristics is very important in both the field of scientific research and industry applications. Currently, adding new PV modules to the CEC database requires the computation of the six parameters at Standard Reference Codition by using few data available in manufacturers’ datasheet. This is usually done by solving complex nonlinear systems using general purpose equation solvers or suitable heuristic methods that, however, are sometimes unable to achieve high levels of accuracy or may feature a strong computational cost. The algorithm proposed herein is based on a reduced-form of the nonlinear system of equations utilized to characterize the one-diode circuital model of PV cells. Important theoretical insights about the solution’s uniqueness and feasible domain are discussed throughout the paper. The algorithm has been verified by identifying the CEC parameters of all PV modules currently available at the CEC database.