Critical Components Identification for Cyber-Physical Power Systems Considering Time-Varying Operational States

Yigu Liu*, Ioannis Semertzis, Alexandru Stefanov, Peter Palensky

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

The security issues of Cyber-Physical power Systems (CPS) have attracted widespread attention from scholars. Vulnerability assessment emerges as an effective method to identify the critical components and thus increase the system resilience. While efforts have been made to study the vulnerability features of power systems under the occurrence of a single, discrete disturbance or failure at a specific time instant, this paper focuses on identifying the critical components of the cyber-physical system considering time-varying operational states. To investigate the potentially ever-changing CPS vulnerability features, in this paper we construct a database of cascading failure chains using quasi-dynamic simulations to capture the vulnerability relationships among components under time-varying operational states. Then, by adopting sequential mining algorithms, we mine the most frequent cascading failure patterns and identify the critical components based on the data mining results. Simulation studies are conducted on IEEE 39-bus and IEEE RTS-96 systems to evaluate the effectiveness of the proposed method for the identification of critical components at both cyber and physical layers.

Original languageEnglish
Title of host publication9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2021, Held as part of the Cyber-Physical Systems and Internet-of-Things Week, Proceedings
EditorsPeter Palensky, Anurag Srivastava
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery (ACM)
Pages1–7
Number of pages7
ISBN (Electronic)978-1-4503-8608-1
DOIs
Publication statusPublished - 2021
Event9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems - Virtual Event
Duration: 18 May 202118 May 2021
Conference number: 9

Publication series

Name9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2021, Held as part of the Cyber-Physical Systems and Internet-of-Things Week, Proceedings

Workshop

Workshop9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems
Abbreviated titleMSCPES '21
Period18/05/2118/05/21

Keywords

  • Cyber-Physical Systems
  • Data Mining Algorithms
  • Vulnerability Assessment
  • Power Systems

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