Distributionally Robust Coordinated Defense Strategy for Time-Sensitive Networking Enabled Cyber–Physical Power System
Xin Li, Qimin Xu, Xuanzhao Lu, Meihan Lin, Cailian Chen, Xinping Guan
Abstract
Cyber-physical power system (CPPS) stability is severely affected by the communication network performance due to cyber-physical interdependence. Thus, uncertain cyber-physical coordinated attacks (CPCA) pose more significant threats to CPPS than physical attacks. However, the defense strategies in recent works assume real-time and reliable transmission under an ideal cyber-attack, leading to inaccurate cyber-physical interdependence modeling. Therefore, the strategies are ineffective against uncertain CPCA. This paper proposes a hierarchical CPPS network architecture that integrates time-sensitive networking (TSN) to improve resilience against uncertain CPCA. To model the uncertain CPCA, a coordinated N-K ambiguity set is proposed considering all possible link failures on both cyber and physical layers. For the cyber layer, we propose a joint routing-scheduling model of TSN-based network to support deterministic and reliable data transmission, which improves the accuracy of cyber-physical interdependence. A distributionally robust coordinated defense (DRCD) strategy integrated with cyber-physical interdependence is then proposed to mitigate the priority-based load shedding considering the uncertainties of CPCA. The formulated DRCD strategy is linearized and transformed into a tri-level optimization problem which is efficiently solved by C-CG algorithm. Case studies indicate that the DRCD strategy has superiorities in improving the resilience of CPPS compared with other conventional models.