Low-Carbon Optimal Scheduling of Integrated Energy System Based on the Master–Slave Game

Abstract

With the integration of distributed power generation into the grid, the economic incentive trading market mechanism becomes an effective method to promote carbon emission reduction in microgrids. In this paper, the carbon flow of the integrated energy system is calculated, the carbon emission model and the carbon flow tracing model of the integrated energy system are established, and the optimization model aiming at low-carbon operation of the integrated energy system is constructed based on the master–slave game model. For the user side of the energy system, the dynamic carbon price and electricity price established by the model play a good role in peaking and valley filling for the load part, improving the operation stability of the power system, realizing the optimal scheduling of the power grid system under the background of electric-carbon coupling trading, and encouraging each microgrid entity to participate in the electric-carbon coupling trading actively. The calculation results show that electric-carbon coupling trading facilitates the flexible operation of power grid systems and improves economic benefits. When combined with carbon emission flow in operation, it can promote the low-carbon and clean power system, encourage distributed renewable resources to connect to the power grid, reduce the carbon content of the power system, enable users to actively participate in low-carbon demand response, and promote the effective carbon emission reduction of a multi-microgrid system.