Research on Double-layer Optimal Dispatch and Carbon Reduction Potential of Electricity-gas Integrated Energy System Based on Carbon Trading Mechanism

This study develops a novel bi-level optimization framework incorporating carbon pricing mechanisms for integrated electricity-gas systems, enabling cost-effective low-carbon energy dispatch. The proposed approach employs a carbon emission flow model to quantify nodal carbon potentials and track emission pathways across energy networks. The optimization architecture consists of two interconnected layers: the upper layer minimizes power grid and natural gas network operational costs, while the lower layer optimizes energy procurement, equipment maintenance, and carbon trading expenditures. The alternating direction method of multipliers (ADMM) algorithm is implemented to solve this complex optimization problem. Case study results demonstrate the framework's effectiveness in balancing economic and environmental objectives: system-wide carbon emissions were reduced by 4.77 tCO, with power procurement costs decreasing by 6,533.45 yuan. Although natural gas expenses increased by 6,569.07 yuan due to the carbon trading mechanism, the overall framework achieved an improved equilibrium between operational efficiency and sustainable energy practices, providing valuable insights for low-carbon energy system optimization.