  Power system components, particularly electrical substations, may be severely
damaged due to flooding, resulting in prolonged power outages and resilience
degradation. This problem is more severe in low-elevated regions such as
Louisiana. Protective operational actions such as placing tiger dams around
substations before flooding can reduce substation vulnerability, damage costs,
and energy not supplied cost, thus enhancing power grid resilience. This paper
proposes a stochastic mixed-integer programming model for protecting
transmission substations one day before flood events using tiger dams. A
flood-aware optimal power flow problem is formulated for transmission system
operators with respect to the protected/unprotected status of substations. The
formulated model aims to identify critical substations whose protection
maximizes grid resilience. The output of the proposed model is a day-ahead crew
team schedule for installing tiger dams on transmission substations. The
effectiveness of the proposed model is evaluated on a 6-bus system, and
promising results are obtained.
