Transmission lines are one of the most vulnerable components of the power grid to natural phenomena due to their extensive geographical coverage and exposure to wilderness environments. This paper presents a Bayesian network framework aimed at probabilistically analyzing transmission line tripping accidents caused by four major natural hazards: wildfire, lightning, strong winds, and snow and ice, dynamically predicting and analyzing the evolution of transmission line tripping accidents from causes to consequences based on Bayesian networks, investigating and exploring key risk pathways, and providing decision support for the prevention, management, and restoration of transmission line tripping accidents.
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Bian et al. (2024) studied this question.
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