Assessing the Resilience of the Texas Power Grid Network

Dorcas Ofori-Boateng, Asim Kumer Dey, Yulia R. Gel, Binghui Li, Jie Zhang, H. Vincent Poor

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

5 Scopus citations


Understanding the structural properties of the power grids under different disruptive event scenarios is the key towards improvement of the security, reliability, and efficiency of modern power systems. In this pilot study, the concepts of topological data analysis, particularly, persistent homology, are used to derive a new metric for resilience of power grid networks. The proposed approach is illustrated in application to a simulated version of the Texas power grid network, under node and edge based attacks for three different weight functions.

Original languageEnglish (US)
Title of host publication2019 IEEE Data Science Workshop, DSW 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781728107080
StatePublished - Jun 2019
Event2019 IEEE Data Science Workshop, DSW 2019 - Minneapolis, United States
Duration: Jun 2 2019Jun 5 2019

Publication series

Name2019 IEEE Data Science Workshop, DSW 2019 - Proceedings


Conference2019 IEEE Data Science Workshop, DSW 2019
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality
  • Computational Theory and Mathematics
  • Artificial Intelligence


  • Complex networks
  • Power system resilience
  • Topological features
  • Transmission lines


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