Abstract: Shared energy storage is one of the solutions for renewable energy to achieve economic consumption. With a moderate investment scale, efforts should be made to match the capacity and power of energy storage power stations with the consumption target. In this regard, a capacity and power allocation method for shared energy storage power stations considering new energy consumption is proposed, and a bi-level programming model is established for the multi-objectives of the lowest operation cost of energy storage power stations and the optimal operation economy of micro-energy network. For the power station configuration problem, the inner model is used to solve the economic consumption rate and the optimal operation of the micro-energy network, and the KKT method is used to solve the model transformation. The calculation example analysis shows that the operating cost of the micro-energy grid system decreases by 15.01% after the shared energy storage is configured, and the new energy consumption rate increases to 97.06%. The shared energy storage service provider can recover the investment cost in 4.51 years. The research results prove that the two-tier planning and configuration method constructed in this paper can better consider the economic consumption of new energy, and improve the operation economy of shared energy storage power stations and micro-energy grids.