An Energy Management System Approach for Power System Cyber-Physical Resilience

Power systems are large scale cyber-physical critical infrastructure that form the basis of modern society. The reliability and resilience of the grid is dependent on the correct functioning of related subsystems, including computing, communications, and control. The integration is widespread and has a profound impact on the operation, reliability, and efficiency of the grid. Technologies comprising these infrastructure can expose new sources of threats. Mapping these threats to their grid resilience impacts to stop them early requires a timely and detailed view of the entire cyber-physical system. Grid resilience must therefore be seen and addressed as a cyber-physical systems problem. This short position paper presents several key preliminaries, supported with evidence from experience, to enable cyberphysical situational awareness and intrusion response through a cyber-physical energy management system.

[1]  Katherine R. Davis,et al.  A Cyber-Physical Modeling and Assessment Framework for Power Grid Infrastructures , 2015, IEEE Transactions on Smart Grid.

[2]  K. Davis,et al.  Multi-Component Risk Assessment Using Cyber-Physical Betweenness Centrality , 2021, 2021 IEEE Madrid PowerTech.

[3]  Katherine R. Davis,et al.  A Cyber Topology Model for the Texas 2000 Synthetic Electric Power Grid , 2019, 2019 Principles, Systems and Applications of IP Telecommunications (IPTComm).

[4]  David M. Nicol,et al.  Cyber-Physical models for power grid security analysis: 8-substation case , 2016, 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[5]  William H. Sanders,et al.  SOCCA: A Security-Oriented Cyber-Physical Contingency Analysis in Power Infrastructures , 2014, IEEE Transactions on Smart Grid.

[6]  Saman Zonouz,et al.  Multi-Source Multi-Domain Data Fusion for Cyberattack Detection in Power Systems , 2021, IEEE Access.

[7]  Erchin Serpedin,et al.  A3D: Attention-based auto-encoder anomaly detector for false data injection attacks , 2020, Electric Power Systems Research.

[8]  Zeyu Mao,et al.  Man-in-The-Middle Attacks and Defense in a Power System Cyber-Physical Testbed , 2021, IET Cyper-Phys. Syst.: Theory & Appl..

[9]  Erchin Serpedin,et al.  Graph Neural Networks Based Detection of Stealth False Data Injection Attacks in Smart Grids , 2021, ArXiv.

[10]  Zeyu Mao,et al.  Design and evaluation of a cyber-physical testbed for improving attack resilience of power systems , 2020, IET Cyper-Phys. Syst.: Theory & Appl..