A Hazus-Based Method for Assessing Robustness of Electricity Supply to Critical Smart Grid Consumers during Flood Events

Alexandr Vasenev, L. Montoya, Andrea Ceccarelli

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

    5 Citations (Scopus)

    Abstract

    Ensuring an external electricity supply to critical city components during flood events requires adequate urban grid planning. The proliferation of smart grid technologies means that such planning needs to assess how smart grids might function during floods. This paper proposes a method to qualitatively investigate robustness of electricity supply to smart grid consumers during flood events. This method builds on the Hazus methodology and aims to provide inputs for the risk analysis of urban grids.
    Original languageUndefined
    Title of host publication11th International Conference on Availability, Reliability and Security, ARES 2016
    Place of PublicationPiscataway, NJ, USA
    PublisherIEEE
    Pages223-228
    Number of pages6
    ISBN (Print)978-1-5090-0990-9
    DOIs
    Publication statusPublished - 2 Sep 2016
    Event11th International Conference on Availability, Reliability and Security, ARES 2016: The International Dependability Conference - Salzburg, Austria
    Duration: 31 Aug 20162 Sep 2016
    Conference number: 11

    Publication series

    Name
    PublisherIEEE

    Conference

    Conference11th International Conference on Availability, Reliability and Security, ARES 2016
    Abbreviated titleARES
    CountryAustria
    CitySalzburg
    Period31/08/162/09/16

    Keywords

    • SCS-Cybersecurity
    • METIS-320922
    • IR-102807
    • EWI-27538

    Cite this

    Vasenev, A., Montoya, L., & Ceccarelli, A. (2016). A Hazus-Based Method for Assessing Robustness of Electricity Supply to Critical Smart Grid Consumers during Flood Events. In 11th International Conference on Availability, Reliability and Security, ARES 2016 (pp. 223-228). Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/ARES.2016.12