Wind power scatteringly connected to distribution systems in which load power is balanced locally is generally considered as a compensation method for massively integrating wind power into the backbone of power grid. In order to ensure the low frequency component integrated in system and to determine the medium frequency and high frequency component which are charged and discharged by composite storage

a wavelet packet optimal decomposition method for wind power is proposed. The established multi-objective function includes minimum system loss

minimum system voltage deviation

maximal system voltage flicker margin and minimum battery equivalent life loss. The stage of charge adaptive control of power-type storage using fuzzy control method is applied to improve its ability of charge and discharge

and the fuzzy control output is used to correct the optimal wind power decomposition. In the end

the IEEE 33-bus numerical results are used to verify the correctness and effectiveness of the proposed method. This work is supported by National High Technology Research and Development Program of China (863 Program) (No. 2012AA050203) and National Natural Science Foundation of China (No. 51477174).