Application of ASO Algorithm in Parameter Identification of Photovoltaic Cells

In order to establish an accurate photovoltaic cell model, it is necessary to enhance the precise and credible able of the parameter identification of the PV cell model. Aiming at the defects of traditional iterative method and gradient method, such as large amount of calculation and difficult initial value selection, this paper advance a parameter identification measure based on atomic search algorithm. The experiment results indicate that the ASO algorithm has higher accuracy and faster convergence speed, and has even better result in parameter identification of PV cell model.