Cooperative game optimization scheduling of multi-region integrated energy system based on ADMM algorithm

—In order to further optimize the energy utilization rate and operation cost of the integrated energy system, and consider the randomness of new energy output to improve the flexibility of system operation, a cooperative game based on IES optimization operation model is proposed. Firstly, the IES framework is constructed, and the models are modeled for the equipment such as power to gas, carbon capture, gas unit, electricity and gas storage. Secondly, the collaborative cooperation alliance among IESs in multiple regions is built, and the principle of energy complementarity to improve the overall income is expounded. Thirdly, the IES cooperative optimal scheduling model based on cooperative game is established, the asymmetric Nash bargaining method is used to allocate cooperative earnings according to contribution, and the ADMM algorithm is used to solve the bargaining model. Finally, through the simulation analysis of an energy system in North China, it can be verified that the proposed strategy can effectively reduce the operating costs of each cooperative entity and the total operating costs of the cooperative alliance, improve the new energy consumption rate, reduce the carbon emissions, and provide a theoretical reference for the low-carbon economic dispatch of the power system.