Abstract: With the increasing proportion of new energy sources in power generation, the supply and demand of flexibility needs to be fully considered in the planning and operation of new power systems. In order to improve the flexibility of the power system, an energy storage allocation method that balances flexibility and economy is proposed. Firstly, taking into account the uncertainty and correlation of wind power, an adversarial generative network is used to portray the uncertainty range of wind power, and a typical scenario of wind power is obtained; subsequently, a two-layer optimization model of energy storage configuration is established to take into account the dual objectives of economy and flexibility, and the optimal energy storage configuration scheme is obtained through the continuous optimization of the upper and lower layers of the model. The improved IEEE-RtS 24-node system is used as an example for analysis, and the results verify that the proposed method can realize the optimal allocation of energy storage with better economy and flexibility。