Optimal Configuration of Shared Energy Storage Capacity Under Multiple Regional Integrated Energy Systems Interconnection

To effectively improve the energy utilization rate of multiple regional integrated energy systems (RIESs) while rationally configuring the energy storage system capacity, a model for the optimal allocation of the shared energy storage system capacity under multi-RIES interconnection is proposed. First, the multi-RIES operation framework is introduced in the context of shared energy storage and the operation mode of the shared energy storage system is analyzed. Second, for a type of RIES including CHP (combined heat and power) and heat pump, a bi-level optimal configuration model with a shared energy storage system as the upper layer and multiple RIESs as the lower layer is established. Among them, the upper layer takes the maximum profit of the shared energy storage system as the goal, and uses genetic algorithms to optimize the capacity and charge and discharge power of the shared energy storage; the lower layer takes the minimum total operating cost of multiple RIESs as the goal and uses the CPLEX solver to contribute to the equipment in each RIES. The plan, the purchase and sales plan with the main network, and the power interaction with the interconnection RIES are solved. Furthermore, considering that multiple RIESs belong to different stakeholders, the Nash bargaining method and the IPOPT solver are used to distribute the benefits of each RIES. Finally, through the analysis of a numerical example, it is verified that the model proposed in this paper can effectively reduce the operating cost of each RIES while simultaneously optimizing the parameter configuration of the shared energy storage system.