Day-ahead optimal scheduling for integrated energy system considering dynamic pipe network delay

In the integrated energy system, the transmission delay of the cooling and heating pipeline network is long, which has an essential impact on the optimal scheduling of the integrated energy system. In this paper, a day-ahead optimal scheduling method of integrated energy systems considering the dynamic delay of the pipeline network is proposed. The method takes into account the impact of pipe network delay on day-ahead optimal scheduling of the system, solves the problem of considerable time lag of pipe network in the process of optimal scheduling of the system, and improves the real-time, safety, and economy of the system scheduling. The method uses the nodal method to establish a dynamic model of the pipeline network system. It analyses the impact of dynamic characteristics on the system equipment's output and system scheduling. A mixed integer linear programming method is used to establish an optimal scheduling model for the integrated energy system, and the system is optimized to maximize the daily revenue in combination with time-of-day tariffs. Finally, the proposed model is validated based on the energy station data in a park in Wuhan. The results show that the optimal scheduling strategy of the integrated energy system that considers the dynamic time-delay characteristics of the pipeline network can effectively improve the system's economy, the system scheduling's real-time performance, and the system operation's safety.