Extraction of Key Factors and Construction of Probability Model for Mountain Fire Tripping of Transmission Lines

With the continuous application of large capacity and long-distance cross regional transmission lines, the line corridors are gradually extending to areas prone to wildfires, leading to an increase in tripping accidents. In order to reduce the risk of transmission line tripping under mountain fire disasters, improve the efficiency and pertinence of mountain fire disaster prevention and control, this paper takes transmission lines as the research object (the research sample includes 406 mountain fire records in transmission corridors and 38 mountain fire induced tripping records), establishes a mountain fire scene simulation model for transmission lines, extracts the key influencing factors of mountain fire induced line tripping, and constructs a mountain fire tripping risk assessment model and a multi-step intelligent prediction model based on machine learning algorithms to improve the safety and reliability of power grid transmission line operation under existing small sample conditions.