Sizing Shared Energy Storage for the Integration of Renewable Generation: A Coalition Game Based Approach

The integration of renewable generation and energy storage in the power system has significant potential to mitigate undesirable characteristics of the power output such as intermittency and variability, as well as to increase total profits. However, since each generation part and the energy storage owner typically optimize the planning capacity based on their individual gains, it’s challenging to get the system’s optimal planning decision. This paper proposes a cooperative game based model to size shared energy storage for centralized wind and solar generation. We define the value of energy coalitions as the additional profits and allocate the profits of each player according to nucleous of the cooperative game. An iterative method is put forward to calculate the optimal robust capacity of each participant when the objection is to find the highest value of Rate of Return (RoR), considering uncertainty sets of wind speed. Finally, numerical results verify the effectiveness of the proposed method and the optimal robust capacities of the generators and the energy storage in this cooperative game based model are also obtained.