Parameter Identification of Simplified Engineering Model for PV Array Based on Shuffled Frog Leaping Algorithm

摘要

The accuracy of PV array model directly affects the output characteristics of the PV system. In this paper, a simplified engineering model for PV array is established and the influence on the output characteristics of PV array is analyzed when Rs, R_(sh), and α, β, γ change. According to the actual data of a PV power station, the shuffled frog leaping algorithm (SFLA) is adopted to identify the parameters in the model. The results show that the identification curve and the measured curve are in a better consistency. Then, the particle swarm optimization (PSO) algorithm is adopted to identify the same parameters and the identification results are compared with the identification results of SFLA. It shows that the output of PV array model based on the identification results of SFLA has a higher fitting degree with the actual output of PV power station which further verifies the superiority of SFLA.