  Resilient operation of the power system during ongoing wildfires is
challenging because of the uncertain ways in which the fires impact the
electric power infrastructure (multiple arc-faults, complete melt-down). To
address this challenge, we propose a novel cut-set and stability-constrained
optimal power flow (OPF) that quickly mitigates both static and dynamic
insecurities as wildfires progress through a region. First, a Feasibility Test
(FT) algorithm that quickly desaturates overloaded cut-sets to prevent
cascading line outages is integrated with the OPF problem. Then, the resulting
formulation is combined with a data-driven transient stability analyzer that
predicts the correction factors for eliminating dynamic insecurities. The
proposed model considers the possibility of generation rescheduling as well as
load shed. The results obtained using the IEEE 118-bus system indicate that the
proposed approach alleviates vulnerability of the system to wildfires while
minimizing operational cost.
