Research on dynamic pricing and operation optimization strategy of integrated energy system based on Stackelberg game

Abstract

Integrated energy system (IES) brings new solutions to promote energy coupling and improve energy efficiency. However, with the transformation of energy market from traditional vertical integrated structure to interactive competitive structure, traditional optimization methods are difficult to reveal the game pattern among IESs. In this paper, a Stackelberg game model of integrated energy system operator (IESO) and integrated energy system (IES) is established to study the IESO dynamic pricing behavior and the IES operation optimization strategy. Firstly, this paper takes the IESO as the leader and each IES as the follower to construct the Stackelberg operation framework. Secondly, the Stackelberg game model between the IESO and the IESs is constructed and solved by the double mutation differential evolution algorithm, and the existence and uniqueness of the game equilibrium solution is proved. Finally, an integrated energy system park is taken as an example to demonstrate the rationality and effectiveness of the model established in this paper. The results show that, for IES, the method can achieve economic benefits while taking into account the environmental cost; and for IESO, it can achieve the IESs optimal energy efficiency while taking into account its own benefits. This paper can provide guarantee and theoretical basis for the IES operation optimization and the interaction between IESs and IESO in terms of algorithm and transaction mode.