With the high penetration level of wind power

technical requirements of wind plant inertia response have been put forward by power system. The control of wind turbine rotor can provide certain energy instantaneously for system inertia. However

it is not effective for all working conditions

such as low wind speed or high wind speed. In order to solve this problem

a solution to fulfil the performance of wind power plant inertia response is presented

which combines the control of wind turbines and energy storage. Furthermore

the demand of energy storage capacity with different wind speeds is analyzed

and the method based on nonparametric kernel density estimation is proposed to determine the storage allocation capacity with different confidence levels

which effectively avoid the disadvantages of the traditional parameter estimation method that depends on the distribution characteristics of wind speed. In the end

analysis of calculation examples proves the effectiveness of the proposed method in reducing the storage capacity as well as improving the economic efficiency of energy storage on participating in wind power plant inertia response. This work is supported by National Basic Research Program of China (973 Program) (No. 2012CB215200).