Parameter Identification of Photovoltaic Cell Based on Improved Recursive Least Square Method

摘要

The photovoltaic (PV) array is one of the main components of the PV system, and the accuracy of the PV array model is directly related to the validity of the simulation results. The parameters of the PV array may change with the operation conditions. Therefore, it is important to identify the parameters of the PV array model according to the measured data. In this paper, the conventional four-parameter model of the PV cell is transformed to the recursive of least square (RLS) form, and the recursive of least square with forgetting factor (FFRLS) method is used to identify parameters of the model. The output of the simulation model with the identified parameters is consistent with the measured data, which further proves the validity of the proposed method.