Optimal Scheduling of Multiple Energy Storage Systems Considering Coupled Traffic-Power Networks

Flexible scheduling of energy storage systems is important for power system restoration in distribution networks. Current research on this usually focuses on a single type of energy storage system with insufficient consideration of the collaborative scheduling of energy storage systems. Therefore, in this paper, an optimal scheduling strategy of stationary and mobile energy storage systems considering coupled traffic-power networks is proposed. First, the operation characteristics of coupled traffic-power networks are analyzed. Second, a joint probability distribution model of wind and rainfall is established to extract typical fault scenarios. Then, on the basis of coupled traffic-power networks, a coordinated scheduling optimization model of storage systems is proposed. Finally, case studies on an actual distribution network are performed. The results demonstrate that the proposed method can obtain optimal scheduling strategies and improve the resilience of distribution networks.