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Aiming at the problem of insufficient system frequency regulation ability caused by wind turbines connected to the grid, doubly fed induction generators (DFIG) mostly use virtual inertia and droop control to participate the frequency regualtion of the power system. However, traditional control strategies cannot fully utilize the frequency regulation capability of DFIG. In order to further improve the frequency stability of the system, the adaptive control of the virtual inertia and the droop coefficient are realized by analyzing the effects of the virtual inertia and the droop coefficient in each stage of the frequency dynamic response. Then, based on the extreme learning machine to predict the various frequency regulation index at different levels of wind speed, the objective function of the frequency regulation index is established to achieve the optimization of the comprehensive adaptive frequency regulation parameters, and the variable load shedding rate active standby control scheme adapted to the wind speed is proposed. The simulation results show the effectiveness of the method.