Capacity Planning of Energy Storage System among Multiple Wind Farms Based on Cooperative Game Theory

Energy storage system (ESS) can alleviate the uncertainty of wind farms. Considering that energy charging and discharging may occur more frequently in energy storage sharing compared to distributed individual ESS, it is important to take into account the potential lifespan loss of ESS. This paper investigates the capacity planning problem of shared ESS among multiple wind farms, considering various scenarios of wind power and load with stochastic optimization. The lifespan loss of ESS is adequately considered in the optimization, and the planning is conducted with Cooperative Game Theory. This model can ensure a reasonable post-benefit allocation scheme for wind farm alliances based on the Shapley value method, and the benefit encourages each wind farm to continue cooperation. Finally, case study is conducted and the results verify the effectiveness of the proposed model. Each entity can benefit in the cooperation.