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

Laiz Souto, Joshua Yip, Wen-Yong Wu, Brent Austgen, Erhan Kutanoglu, John Hasenbein, Zong-Liang Yang, Carey King, Surya Santoso

Research output: Contribution to journalArticlepeer-review

41 Citations (SciVal)

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.
Original languageEnglish
Article number107545
JournalInternational Journal of Electrical Power & Energy Systems
Volume135
Early online date4 Sept 2021
DOIs
Publication statusPublished - 1 Feb 2022

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