Optimal Multi-Timescale Scheduling of Integrated Energy Systems with Hybrid Energy Storage System Based on Lyapunov Optimization

The economic operation of integrated energy system (IES) faces new challenges such as multi-timescale characteristics of heterogeneous energy sources, and cooperative operation of hybrid energy storage system (HESS). To this end, this paper investigates the multi-timescale rolling optimization problem for IES integrated with HESS. Firstly, the architecture of IES with HESS is established, a comparative analysis is conducted to evaluate the advantages of the HESS over a single energy storage system (SESS) in stabilizing power fluctuations. Secondly, the day-ahead and real-time scheduling cost functions of IES are established, the day-ahead scheduling mainly depends on operation costs of the components in IES, the real-time optimal scheduling adopts the Lya-punov optimization method to schedule the battery and hydrogen energy storage in each time slot, so as to minimize the real-time average scheduling operation cost, and the problem of day-ahead and real-time scheduling error, which caused by the uncertainty of the energy storage is solved by online optimization. Finally, the proposed model is verified to reduce the scheduling operation cost and the dispatching error by performing an arithmetic example analysis of the IES in Shanghai, which provides a reference for the safe and stable operation of the IES.