2017/04/06 by Zhaohong Bie, Yanling Lin, Gengfeng Li +1 · 837 citations
Engineering · #Business #Cascading failure #Computer science #Computer security #Control reconfiguration #Critical infrastructure #Electric power system #Electricity #Embedded system #Engineering #Infrastructure Resilience and Vulnerability Analysis #Optimal Power Flow Distribution #Power (physics) #Reliability engineering #Resilience (materials science) #Risk analysis (engineering) #Smart Grid Security and Resilience #Smart grid
paper · doi:10.1109/jproc.2017.2679040
published in Proceedings of the IEEE 105(7), 1253-1266 (Institute of Electrical and Electronics Engineers)
openalex publication_date 2017/04/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/26
The electricity infrastructure is a critical lifeline system and of utmost importance to our daily lives. Power system resilience characterizes the ability to resist, adapt to, and timely recover from disruptions. The resilient power system is intended to cope with low probability, high risk extreme events including extreme natural disasters and man-made attacks. With an increasing awareness of such threats, the resilience of power systems has become a top priority for many countries. Facing the pressing urgency for resilience studies, the objective of this paper is to investigate the resilience of power systems. It summarizes practices taken by governments, utilities, and researchers to increase power system resilience. Based on a thorough review on the existing metrics system and evaluation methodologies, we present the concept, metrics, and a quantitative framework for power system resilience evaluation. Then, system hardening strategies and smart grid technologies as means to increase system resilience are discussed, with an emphasis on the new technologies such as topology reconfiguration, microgrids, and distribution automation; to illustrate how to increase system resilience against extreme events, we propose a load restoration framework based on smart distribution technology. The proposed method is applied on two test systems to validify its effectiveness. In the end, challenges to the power system resilience are discussed, including extreme event modeling, practical barriers, interdependence with other critical infrastructures, etc.