Sequential Disaster Recovery Strategy for Resilient Distribution Network Based on Cyber–Physical Collaborative Optimization
Xiuchuan Sun, Jian Chen, Haoran Zhao, Wen Zhang, Yicheng Zhang
Abstract
A novel two-stage sequential disaster recovery strategy for resilient cyber-physical distribution power systems (CPDPSs) is proposed with consideration of cyber-physical collaborative optimization. In the first stage, a mixed-integer linear programming (MILP) model is formulated based on the integration of a transportation network (TN), a cyber network (CN) and a physical network (PN) to achieve efficient load recovery. Additionally, a ‘repair-event-triggered’ mechanism is proposed to facilitate effective and collaborative optimization among physical maintenance crews (PMCs), cyber maintenance crews (CMCs), and a distribution network recovery model (DNRM). In the second stage, PMCs and CMCs are rescheduled to repair the remaining damaged components with the lowest time cost after all the power supplies are restored. The effectiveness and applicability of this proposed model are validated using the IEEE 33 bus system and the PG&E 69 bus system.