The low frequency oscillation control of wind power integration is the key to ensure the stable operation of power system. With the steady expansion of network scale of wind farms

the power system in a multi-interference environment is formed for lack of damping due to the grid structure

load flow

generator excitation control and other factors. When the wind power is integrated

the error factor of model identification will bring about problems to the identification and damping control of the power system. It often deteriorates the effect of damping control. For this problem

firstly

the wind power fluctuation signal is used as an identification signal

and a power system closed-loop model in multi-interference environment involving the wind power integration is built. Secondly

an iterative identification method based on the recursive least square method and Vinnicombe distance is proposed and the whole implementation steps are given. In this method

the optimal power system model and optimal damping controller model can be identified online by fully considering the identification error factors. Finally

taking one four-machine two-area wind power access system model as an example

the simulations are carried out by using the proposed method and compared with the traditional iterative identification method. Simulation results show the correctness and effectiveness of the proposed method

which can effectively suppress the low frequency oscillation under the multi-interference of power system with wind power integration

while achieving stable damping control.