Cascading Blackout Severity Prediction with Statistically-Augmented
Graph Neural Networks
Cascading Blackout Severity Prediction with Statistically-Augmented
Graph Neural Networks
Higher variability in grid conditions, resulting from growing renewable penetration and increased incidence of extreme weather events, has increased the difficulty of screening for scenarios that may lead to catastrophic cascading failures. Traditional power-flow-based tools for assessing cascading blackout risk are too slow to properly explore the space of possible …