Low-carbon Optimization Scheduling of an Urban Integrated Energy System Considering Energy Complementarity

In recent years, China's urbanization process has accelerated rapidly, with various industries forming clusters. Due to their geographical proximity, these industries have developed into closely connected multifunctional urban regions. The electric and thermal loads, along with the energy consumption characteristics of different functional areas, exhibit significant differences. The deployment of generation units with varying capacities among them provides favorable conditions for the development of energy complementarity in multi-energy systems. In the planning and construction of urban integrated energy systems, the transmission and coordination of information between different subsystems should be considered, and appropriate control strategies should be introduced to enable the orderly flow and collaborative transformation of multiple energy forms—such as electricity, heat, and gas—among the subnetworks. This chapter proposes an urban multi-energy complementarity system structure incorporating an upper-level energy supply center (UESC). Based on the objective function and constraints of the UESC and integrated energy systems (IES), a hierarchical energy complementarity optimization scheduling model is established, considering tiered carbon trading. The ADMM algorithm is employed for distributed iterative solving. Through comparative analysis of five simulation scenarios, the proposed method is demonstrated to effectively enhance the economic, low-carbon, and resilient performance of urban multi-energy systems.