Research on the optimal scheduling of integrated energy system in the park based on master-slave game

With the continuous promotion of China's energy revolution and the goal of 'carbon peaking and carbon neutral' by 2020, it has become an unstoppable trend for new energy sources to shift from supplementary power sources to main power sources, and the energy system is under pressure to ensure energy security, improve energy efficiency and promote new energy consumption. This paper presents the problem of optimal scheduling of the integrated energy system of the park. A game theory approach to engineering management is used, with the upper-level problem targeting the lowest overall dispatch revenue cost of the integrated energy system and the lower-level problem for electrical and thermal balance. An upper-lower stackelberg model is created, The master-slave game framework is embedded in the proposed model, and the system power balance constraint and thermal energy balance constraint are also considered, And the existence and uniqueness of the Stackelberg equilibrium solution is proved. Finally, the simulation analysis is carried out using particle swarm algorithm and CPLEX solver. The algorithm shows that the game optimization can reduce the scheduling cost and improve the user satisfaction.