Analyzing smart power grid and SCADA network robustness using the node degree distribution and algebraic connectivity under vulnerability and WMD attacks

Pravin Chopade, Marwan Bikdash

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We discuss the robustness of large networks such as Smart Power Grid and Supervisory Control and Data Acquisition (SCADA) network. We put forward mathematical models of robustness that reflect power network dynamics and the Laplacian of the network. We used nodal degree distributions, algebraic connectivity, and Fiedler eigenvalue parameters for analyzing the robustness of real world power grid network. We also discussed the performance of Western Electric Coordinating Council (WECC) US grid under Weapons of mass destruction (WMD) attacks.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Technologies for Homeland Security, HST 2012
Pages365-372
Number of pages8
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 12th IEEE International Conference on Technologies for Homeland Security, HST 2012 - Waltham, MA, United States
Duration: Nov 13 2012Nov 15 2012

Publication series

Name2012 IEEE International Conference on Technologies for Homeland Security, HST 2012

Conference

Conference2012 12th IEEE International Conference on Technologies for Homeland Security, HST 2012
Country/TerritoryUnited States
CityWaltham, MA
Period11/13/1211/15/12

Keywords

  • Fiedler eigenvalue
  • Laplacian
  • Robustness
  • SCADA
  • Smart Grid
  • WMD attack
  • algebraic connectivity
  • degree distribution

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