  Almost 90% of the major power outages in the US are caused due to hurricanes.
Due to the highly uncertain nature of hurricanes in both spatial and temporal
dimensions, it is essential to quantify the effect of such hurricanes on a
power grid. In this paper, we provide a Monte-Carlo-based framework in which
several hurricane scenarios and their impact on a power grid are analyzed in
spatiotemporal dimensions. The hurricane simulations are performed using
samples from previously occurred hurricanes in the US whereas probabilistic
assessment of the transmission lines is performed through line fragility model.
Finally, a loss metric based on the amount of load disconnected due to
hurricanes traveling inland is calculated for each time step. The simulation is
performed on ACTIVSg2000: 2000-bus synthetic Texas grid while mapping the
transmission lines of the test case on the geographical footprint of Texas. The
simulation results show that the loss increases significantly for a few time
steps when the wind field of a hurricane is intense and almost saturates when
the intensity of the hurricane decays while traversing further. The proposed
analysis can provide some insights for proactive planning strategies on
improving the resilience of the power grid.
