Joint Optimization Scheduling Strategy for Low-Carbon Multi-Energy Microgrid Considering Energy Sharing

As global environmental issues become increasingly severe, carbon reduction has become a focal point for countries around the world. Microgrids, as an effective system for promoting the consumption of renewable energy, have become an important research hotspot in the power sector. However, existing studies mainly focus on the optimized operation of individual microgrids, neglecting the collaborative cooperation between multiple microgrids and the impact of carbon trading mechanisms on system operating costs and carbon emissions. To address this, this paper proposes a joint optimization scheduling strategy for low-carbon multi-energy microgrids considering energy sharing, aiming to reduce the operating costs and carbon emissions of the multi-microgrid system through energy sharing and carbon trading mechanisms. This paper first establishes a cooperative operation framework for multi-energy microgrids with energy sharing, including mathematical models for various devices, and develops models for user demand response and carbon trading. On this basis, the cost model and power balance constraints for the multi-microgrid system are proposed. Through case analysis, a comparison is made between scenarios considering CCS (Carbon Capture and Storage) and P2G (Power-to-Gas) and those that do not consider CCS and P2G. The results show that the scenario considering CCS and P2G can significantly reduce the carbon trading costs and total operating costs of the system. In addition, interconnecting multiple microgrids significantly enhances the consumption of renewable energy, optimizing the economic and environmental benefits of the system.