LAUSR

Many methods are proposed for parameter identification and performance estimation of photovoltaic (PV) modules, including analytical methods, numerical methods, and optimization methods. In this paper, a hybrid method based on analysis expressions and optimization algorithms is proposed to determine the parameters of the single-diode model and the double-diode model for PV modules. The method is based on the reduced forms and combines the analytical method and the optimization method. By using three key points in I–V curves and making some approximations or simplifying assumptions without sacrificing accuracy, the dimensions of the search space are reduced to only one independent parameter, which reduces the computational complexity and cost. After identifying the parameters under certain conditions, the parameters under any operating conditions are estimated based on the dependence of parameters on environmental conditions. The proposed method is validated by massive experimental data of I–V curves under varying operating conditions. Comparing with other methods with high accuracy, the proposed method shows similar accuracy in parameter identification under certain conditions. Using the proposed method, the output performance estimation is found to be better than the results of other methods. Moreover, the influence of condition selection on the accuracy of output power performance estimation is investigated thoroughly.