To establish a shared energy storage allocation method that considers the uncertainty of renewable energy output and the economic benefits of energy storage

this paper proposes an optimal allocation model of renewable energy shared energy storage that takes into account the master-slave game multi-package pricing and the opportunity constraint of the distributed rod. First of all

the concept of the package is introduced

taking into account the difference in output characteristics of renewable energy stations

and the shared energy storage power

capacity

and time service packages are designed for different storage service needs of different stations. Secondly

the pricing method of the shared energy storage package based on a master-slave game is proposed. Then

a two-layer optimal configuration model of the shared energy storage master-slave game is established to maximize each participant's benefits. Thirdly

based on the moment information

a fuzzy set considers the uncertainty of the renewable energy output. Affine decision rules are used to convert the renewable energy station output's relevant constraints into the distributed rod's random constraints

and the optimal configuration model is reconstructed into a mixed integer second-order cone programming model for solving the problem. Finally

the effectiveness and universality of the proposed shared energy storage optimization configuration method are verified by a case study.