Power system resilience to floods: Modeling, impact assessment, and mid-term mitigation strategies

L. Souto,Joshua J. Yip,Wen‐Ying Wu,Brent G. Austgen,E. Kutanoglu,J. Hasenbein,Zong‐Liang Yang,C. King,S. Santoso

Published 2022 in International Journal of Electrical Power & Energy Systems

ABSTRACT

Abstract This article presents a methodology aimed at improving mid-term power system resilience at transmission substations in areas potentially affected by floods, combining hardening strategies and quantitative metrics. It takes into account flood forecasts from a hydrological model and the location of electrical equipment to perform impact assessment “as is” and with resilience planning strategies. Thus, the impact of floods on the grid is evaluated over a range of realistic flood scenarios, based on the accumulated cost and load energy unserved as metrics together with future transmission system expansion capacity projections. The mixed-integer linear programming formulation is aimed at minimizing accumulated cost and load energy unserved with optimal hardening of substations, assuming that any non-hardened substation disabled by flooding must be repaired. Furthermore, the methodology is demonstrated in the coastal area of Texas with simulations of floods based on the rainfall of Hurricane Harvey in 2017. Ultimately, the choice of the most appropriate mitigation strategies shall optimize resilience metrics and/or cost indicators with robustness over a range of scenarios.

PUBLICATION RECORD

  • Publication year

    2022

  • Venue

    International Journal of Electrical Power & Energy Systems

  • Publication date

    Unknown publication date

  • Fields of study

    Computer Science, Engineering, Environmental Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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