Energy Management Method of Integrated Energy System Considering Multi-mode Energy Storage and User Regulation Characteristics

Abstract With the development of multi-energy system and energy storage industry, the energy system is more diversified, and the research on its integration and complementarity is of great significance. First of all, the system model of users and building including multi-energy storage is established. The energy storage in the user model includes electric vehicle and building virtual energy storage. While considering human behavior and user comfort, the uncertainty model of human behavior based on conditional trigger is established. The energy storage in the building model includes actual energy storage devices such as batteries and ice storage tank. Then, a stackelberg game model is established, in which the user is the follower and takes the lowest cost as the goal to respond to the demand. As the leader, the building operator adjusts the energy price according to the result of the user response, with the goal of maximizing its own profit. The distributed algorithm is used to solve the problem and iterate to the game equilibrium repeatedly. Finally, a numerical example is given to verify the effectiveness of the proposed model and algorithm, and analyze the impact of human behavior on the virtual energy storage system, as well as the differences between generalized energy storage systems and the impact of strategies.