Integrated wind power of large scale and high concentration will increase the risk of wind ramping. This paper analyzes the wind ramping characteristics and the effect of wind turbine power control on wind ramping. Based on the existing wind turbine smooth control

a finite control strategy for wind turbine ramping power is proposed. By coordination between the prediction module

online optimization module and feedback control module

it is enabled to optimize the reference power

improve the ability of tracking the reference power and smooth the output power of wind turbines. Based on the ultra-short-term wind speed forecasting model

the dynamic neural network is used to get the forecasting wind power curve. In the optimization module

the optimization model of minimum ramping rate and minimum abandoned power is used to get the optimal output power curve quickly by the quadratic programming algorithm. The specific variable-speed variable-pitch coordinated control law is generated in the feedback control module. The simulation results show that the proposed strategy can realize the targets of smoothing the output power

increasing the generating capacity and improving the rotor speed characteristics of wind turbines.