Research on parameter identification method based on finite measurement information for photovoltaic array model

The photovoltaic array is a main part of photovoltaic generation system. It is significant to research on the exact model for the purposes of control and optimization in the entire photovoltaic power generation system. Based on the existing model of photovoltaic array, a parameter identification method is proposed, which makes use of finite measurement information to estimate the parameters of a photovoltaic array model. A parameter identification problem is constructed for the photovoltaic array model, and a sequential quadratic programming method for the problem is introduced. This method can make the mathematical model be consistent with the actual object. In the numerical simulations and experiments, the photovoltaic battery plate temperature and light intensity are treated as unknown parameters, and then parameter identification problem is constructed and solved by using the output current and voltage measurement information of the actual photovoltaic system with different conditions. The identification of the unknown parameters is achieved and the minimum deviations between outputs of the identified model and actual measurement information are obtained. The effectiveness of the proposed method can be demonstrated by the results of numerical simulations and experiments.