Integrated Identification Method for Parameters of Doubly-Fed Wind Turbine Based on Frequency Domain Universal Modeling

As the proportion of wind power in new-type power systems increases year by year, its dynamic characteristics, especially fault ride-through characteristics, have a significant impact on power systems. To accurately analyze the impact of large-scale wind power on power systems, it is necessary to construct a white-box model that can characterize the actual dynamic characteristics of wind turbine. The white-box model has numerous parameters with interactive effects, and current parameter identification methods cannot achieve identification of the entire DFIG's fault ride-through, inner and outer controller parameters, limiting parameters, and electrical parameters, especially the accurate identification of parameters insensitive to external characteristics. To solve these problems, this paper constructs a frequency domain universal model for DFIG under fault ride-through conditions, which includes the DFIG itself and all controllers. The parameters are divided into four categories for step-by-step identification, proposing a categorized and integrated step-by-step identification method. The accuracy of the frequency domain universal model is verified through comparison with a simulation model, and the correctness of the proposed categorized and integrated step-by-step parameter identification method is validated by comparing the identified values with the real values.