  This paper develops a spatiotemporal probabilistic impact assessment
framework to analyze and quantify the compounding effect of hurricanes and
storm surges on the bulk power grid. The probabilistic synthetic hurricane
tracks are generated using historical hurricane data, and storm surge scenarios
are generated based on observed hurricane parameters. The system losses are
modeled using a loss metric that quantifies the total load loss. The overall
simulation is performed on the synthetic Texas 2000-bus system mapped on the
geographical footprint of Texas. The results show that power substation
inundation due to storm surge creates additional load losses as the hurricane
traverses inland.
