Research on Sub-Synchronous Oscillation Mode and Parameter Identification of Wind-Fire Bundling System

Abstract

The structure of grid-connected wind power system is complex and constantly changing operating conditions.It is challenging to establish a physical model of grid-connected wind power and analyze its modal parameters to ensure the stable operation of the system. A hybrid algorithm for modal parameter identification based on blind source separation is proposed in this work. In this paper, based on the detailed model of the wind-fire bundling of the double-fed fan, combined with the impedance analysis method, the principle of the system's sub-synchronous oscillation is analyzed, the detailed structural model and mathematical formula are established, and the strongly correlated variables are selected as the basis for the following research. Then, the algorithm of removing noise and harmonic interference is combined with the identification algorithm to analyze the sub-synchronous oscillation modes and related parameters in the grid-connected wind power system. Finally, this paper constructs the ideal model and the IEEE first model containing doubly-fed fan system simulation t, and the accuracy and effectiveness of the BSS-DMD method are proved. The frequency error can reach less than 1%, and the damping ratio error does not exceed 3%. This identification method with high accuracy can provide a new solution and basis for the power system stability problem caused by the sub-synchronous oscillation phenomenon of wind power connected to the grid.