Shared energy storage distribution robust optimization configuration method considering master-slave game pricing mode

The invention discloses a shared energy storage distribution robust optimization configuration method considering a master-slave game pricing mode, and the method comprises the steps: building a fuzzy set considering the output uncertainty of new energy, building a shared energy storage and wind power plant upper and lower layer game model, and taking the profit maximization of a shared energy storage operator as a target. The method comprises the following steps: establishing an upper-layer shared energy storage operator model, establishing a lower-layer wind power plant model by taking self-income maximization of each wind power plant as a target, integrating the upper-layer model and the lower-layer model into a game interaction mode, and establishing a master-slave game basic framework and model taking a shared energy storage operator as a leader and a plurality of wind power plants as followers; the uncertainty of new energy output is considered, and a wind power plant distribution robust optimization mo