Optimal Scheduling and Benefit Distribution of Integrated Energy Systems Based on Cooperative Game

The proposal of the major strategic decision of "dual-carbon" signals that the development of clean energy such as wind and solar energy has entered a new stage, but in order to reduce the impact of the instability and intermittency of wind and solar energy on the electric power system, it is of great significance to construct an integrated energy system (IES) with high flexibility. Based on the cooperative game to research on IES, on the basis of considering the system operation profits, carbon emission, and profits distribution. Firstly, a framework model of the IES is established. Secondly a cooperative alliance is formed among the three main subjects in the system, which is solved using the CPLEX solver. The profits of the alliance members are distributed using an Shapley value method that considers multiple marginal contributions. Finally, a simulation is conducted through a case study. The results demonstrate that the cooperative model based on cooperative game theory can effectively improve profits while reducing carbon emissions and increasing wind and solar energy consumption. This provides a scientific reference for the construction and optimal scheduling of IES.