Cooperative-game-based joint planning and cost allocation for multiple park-level integrated energy systems with shared energy storage

Under the carbon-neutrality goal, joint planning along with a fair cost allocation of shared energy storage becomes a promising solution to boosting the economic benefits and energy utilization efficiency of multiple park-level integrated energy systems. Hence, a joint planning and cost allocation method for multiple park-level integrated energy systems with shared energy storage is proposed in this paper to obtain optimal joint planning and cost allocation strategies of park-level integrated energy systems with shared energy storage. First, a joint planning model for park-level integrated energy systems with shared energy storage is established to minimize the total investment and operation costs of the grand cooperative coalition by considering the optimal construction time sequence of devices. Then, an ex-post cost allocation algorithm based on an improved Nucleolus method is proposed to realize a fair cost allocation for the joint planning of park-level integrated energy systems with shared energy storage. Finally, case studies on a grand cooperative coalition with six park-level integrated energy systems are performed for verifying the effectiveness of the proposed method. Simulation results demonstrate that the total investment and operation costs of park-level integrated energy systems are reduced, and the renewable energy consumption levels of park-level integrated energy systems are improved. Besides, the proposed cost allocation algorithm has less computing time, and better coalition rationality and stability compared to other similar algorithms.