Research on the optimal configuration method of shared energy storage basing on cooperative game in wind farms

Aiming at the problems of low energy storage utilization and high investment cost that exist in the separate configuration of energy storage in power-side wind farms, a capacity optimization method based on cooperative game for wind farm-side shared energy storage power plant is proposed. Firstly, the wind power output scenarios on different typical days are clustered using the Latin hypercubic sampling method and the k-means method; then, the capacity optimization model of the shared energy storage plant is established with the objective of minimizing the total cost of constructing the shared energy storage plant in wind farms; secondly, the cooperative allocation strategy based on the Shapley value is designed to allocate the total cost of investing in and constructing the shared energy storage system; finally, it is demonstrated through examples that the method proposed in this paper effectively reduces the cost of the total investment in the energy storage system for new energy power plants, reduces the cost of wind abandonment penalties for new energy power plants, improves the output effect of new energy power plants, and increases the utilization rate of the shared energy storage power plant.