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Power system components, particularly electrical substations, may be severelydamaged due to flooding, resulting in prolonged power outages and resiliencedegradation. This problem is more severe in low-elevated regions such asLouisiana. Protective operational actions such as placing tiger dams aroundsubstations before flooding can reduce substation vulnerability, damage costs,and energy not supplied cost, thus enhancing power grid resilience. This paperproposes a stochastic mixed-integer programming model for protectingtransmission substations one day before flood events using tiger dams. Aflood-aware optimal power flow problem is formulated for transmission systemoperators with respect to the protected/unprotected status of substations. Theformulated model aims to identify critical substations whose protectionmaximizes grid resilience. The output of the proposed model is a day-ahead crewteam schedule for installing tiger dams on transmission substations. Theeffectiveness of the proposed model is evaluated on a 6-bus system, andpromising results are obtained.

Flood-aware Optimal Power Flow for Proactive Day-ahead Transmission Substation Hardening