Cyber-Physical models for power grid security analysis: 8-substation case

Gabriel A. Weaver, Kate Davis, Charles M. Davis, Edmond J. Rogers, Rakesh B. Bobba, Saman Zonouz, Robin Berthier, Peter W. Sauer, David M. Nicol

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Utilities need to understand and consider the interconnectedness of their electrical system and its supporting cyber infrastructure to maintain system reliability in the face of cyber adversaries. This paper makes two contributions to modeling cyber-physical dependencies within the electrical power sector. First, the paper defines a Common Format using the Cyber-Physical Topology Language (CPTL) to inventory, analyze, and exchange cyber-physical model information. Second, the paper provides an 8-substation cyber-physical reference model. The impact of this work is to enable efficient information exchange of cyber-physical topologies within and among the industry as well as the research community. The reference model and framework will benefit the research community by providing a way to compare analyses on electrical power systems that account for problems within cyber control networks.

Original languageEnglish (US)
Title of host publication2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages140-146
Number of pages7
ISBN (Electronic)9781509040759
DOIs
StatePublished - Dec 8 2016
Event7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 - Sydney, Australia
Duration: Nov 6 2016Nov 9 2016

Publication series

Name2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016

Other

Other7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
Country/TerritoryAustralia
CitySydney
Period11/6/1611/9/16

Keywords

  • CPTL
  • cyber-physical systems
  • network
  • ontologies
  • power grid

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Control and Optimization
  • Signal Processing

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