  Wildfires pose a significant threat to the safe and reliable operations of
the electric grid. To mitigate wildfire risk, system operators resort to public
safety power shutoffs, or PSPS, that shed load for a subset of customers. As
wildfire risk forecasts are stochastic, such decision-making may often be
sub-optimal. This paper proposes a two-stage topology control problem that
jointly minimizes generation and load-shedding costs in the face of uncertain
fire risk. Compared to existing work, we include preand post-event topology
control actions and consider scenarios where the wildfire risk is known with
low and high confidence. The effectiveness of the proposed approach is
demonstrated using a benchmark test system, artificially geo-located in
Southern California, and using stochastic wildfire risk data that exists in the
literature. Our work provides a crucial study of the comparative benefits of
pre-event versus post-event control and the effects of wildfire risk accuracy
on each control strategy.
