A hetero-functional graph analysis of electric power system structural resilience

Dakota J. Thompson, Wester C.H. Schoonenberg, Amro M. Farid

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

    9 Scopus citations

    Abstract

    As modern life and the world's services increasingly electrify, the resilience of the electric power grid is more important than ever. Current methods of studying electric power grid resilience generally fall in one of two categories: 1.) dynamic simulation methods and 2.) network science methods based upon graph connectedness. The latter use 'lightweight' models while the former is considerably more computationally intensive. Though these methods provide valuable insights, there is a need for analytical tools that balance analytical insight with computational complexity. This paper demonstrates, for the first time, a structural resilience analysis based upon the application of hetero-functional graph theory to electric power systems. These measures are of particular relevance to the grid's architectural transformation as it comes to accommodate distributed generation and meshed networks. The paper concludes with a discussion of some of the key differences between existing resilience measures and those based upon a hetero-functional graph analysis.

    Original languageEnglish
    Title of host publication2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
    ISBN (Electronic)9781728131030
    DOIs
    StatePublished - Feb 2020
    Event2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020 - Washington, United States
    Duration: 17 Feb 202020 Feb 2020

    Publication series

    Name2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020

    Conference

    Conference2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
    Country/TerritoryUnited States
    CityWashington
    Period17/02/2020/02/20

    Keywords

    • Distributed generation
    • Electric power grid
    • Hetero-functional graph theory
    • Resilience

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