In the new power system

the frequency modulation of wind storage can make up for the deficiency of the existing frequency modulation capability. However

considering the economy and frequency regulation effect

the frequency regulation capacity configuration of wind storage is related to the existing frequency regulation capacity and power disturbance of the system

as well as the available frequency regulation capacity of wind power. It is necessary to solve the key problems such as the cooperative control strategy of wind storage and frequency regulation parameters and the optimization of frequency regulation capacity of wind storage. Therefore

a coordinated control strategy of wind storage and frequency modulation

its frequency modulation parameters and energy storage capacity optimization are proposed

which consider the dynamic frequency regulation process and wind speed change. Firstly

based on Monte Carlo simulation and K-means clustering algorithm

the typical operation scenarios of high-proportion wind power grid-connected power systems are generated. Secondly

according to the characteristic that the frequency modulation capability of wind power changes with the change of wind speed

the wind storage frequency modulation cooperative control strategy based on the change of wind speed is proposed. Finally

conditional risk extreme value (CVaR) is used to measure the risk loss caused by wind power output deviation

and the study also constructs a multi-objective optimization model with minimum dynamic frequency index change and minimum frequency modulation cost of wind storage to optimize the frequency modulation parameters of wind storage and the frequency modulation capacity configuration of energy storage. The simulation results show that the proposed method can help improve the dynamic frequency index of power grid and reduce the cost of energy storage configuration.