Master-Slave Game-Based Low-Carbon Dispatch for Multi-Energy Station Distribution System Under Carbon Flow Tracking

To address the issues of high carbon emissions and unclear carbon responsibility allocation in the multi-energy station distribution system (MESDS), a low-carbon scheduling strategy, with the integration of carbon flow tracking, aiming to optimize the system's operation costs while minimizing carbon emissions, based on a master-slave game framework, is proposed in this paper. First, an optimization model is established with the primary objective of simultaneously minimizing both the economic costs and the low-carbon emissions of the MESDS. In this model, the distribution system operator serves as the leader in the master-slave game model, setting electricity trading prices and guiding the operation management and demand response of the multiple energy stations. Finally, the proposed model is solved using the dichotomy method. The optimization results demonstrate that the proposed master-slave game-based low-carbon dispatch model effectively reduces the overall carbon emissions of the MESDS, while simultaneously maintaining economic efficiency and ensuring a fair and rational distribution of carbon emission responsibilities among the system's components.