Post-Disaster Robust Restoration Scheme for Distribution Network Considering Rerouting Process of Cyber System With 5G
Ziang Liu, Qiuwei Wu, Xinwei Shen, Tan Jin, Xuan Zhang
Abstract
Due to global warming, the frequency of various extreme weather events is increasing worldwide, posing significant threats to the power system. As a substantial number of distributed energy resources (DERs) and other smart devices are integrated into the distribution system, traditional passive distribution systems are transforming into cyber-physical active distribution systems. Components in both the cyber network and the physical network may sustain damage following severe natural disasters. Therefore, this paper proposes a post-disaster restoration scheme for active distribution networks (ADNs) considering the coupling of cyber-physical systems. The innovation of this work lies in the full utilization of 5G networks, complemented by a novel rerouting process, which reconnects offline cyber devices after disasters. This approach substantially enhances the resilience of the cyber system, which in turn can effectively support the restoration process of the physical system. Furthermore, the uncertainty of DERs and the three-phase unbalanced characteristic of ADNs are taken into account. To reduce the computation complexity, linearization techniques are applied to nonlinear constraints, ultimately resulting in a mixed-integer linear programming (MILP) formulation based on a two-stage robust optimization model, which is solved by the column and constraint generation (C&CG) algorithm. The effectiveness and superiority of the proposed model are verified on both a modified IEEE 33-node system and a modified IEEE 123-node system integrated with cyber networks.