A Review of Resilience Metrics and Modeling Methods for Cyber-Physical Power Systems (CPPS)
Zhaojun Steven Li, Gongyu Wu, Rocco Cassandro, Huimin Wang
Abstract
The cyber-physical power system (CPPS) stands as one of a nation's most critical infrastructures, as an unwavering and secure power supply forms the cornerstone of national and societal development. Recently, the concept of resilience has become a trending topic in preventing and mitigating the risks caused by large-scale CPPS blackouts. This article introduces the concept of resilience in complex engineering systems, detailing quantitative assessment metrics used to evaluate CPPS resilience. These metrics underpin the capacity of CPPSs to recover from disruptions. The article reviews current research focused on enhancing CPPS resilience, covering three main aspects: 1) optimizing component recovery sequences, 2) identifying critical nodes, and 3) optimizing physical-cyber coupling patterns. Recent advances in modeling methodologies for CPPS resilience against cascading failures are also discussed. Finally, the article delves into the challenges and future direction for CPPSs resilience enhancement and modeling approaches.