Multi-energy microgrid operation optimization strategy on Stackelberg game considering energy service price

Multi-energy microgrid can effectively improve energy utilization efficiency and reduce carbon emission, which is of great significance to carbon peaking and carbon neutrality targets of China. This paper proposes a multi-energy microgrid operation optimization method based on Stackelberg game, which can effectively coordinate the interests of different stakeholders and optimize operation of the system. Firstly, the multi-energy microgrid model including energy supplier, integrated energy operator and users are established. Secondly, the two-layer supply and demand interaction model based on Stackelberg game is proposed which considers the influence of energy service price on the game. The existence and uniqueness of Nash Equilibrium (NE) of the game model is proved, and a particle swarm optimization based solution algorithm is also proposed. The example shows the effectiveness of the proposed Stackelberg game based IES optimization strategy.