Abstract
A power line is particularly vulnerable to wildfires in its vicinity, and various damage including line tripping can be caused by wildfires. Using remote sensing techniques, a novel model developed to assess the risk of line tripping caused by the wildfire occurrence in high-voltage power line corridors is presented. This model mainly contains the wildfire risk assessment for power line corridors and the estimation of the probability of line tripping when a wildfire occurs in power line corridors. For the wildfire risk assessment, high-resolution satellite data, Moderate Resolution Imaging Spectroradiometer (MODIS) data, meteorological data, and digital elevation model (DEM) data were employed to infer the natural factors. Human factors were also included to achieve good reliability. In the estimation of the probability of line tripping, vegetation characteristics, meteorological status, topographic conditions, and transmission line parameters were chosen as influencing factors. According to the above input variables and observed historical datasets, the risk levels for wildfire occurrence and line tripping were obtained with a logic regression approach. The experimental results demonstrate that the developed model can provide good results in predicting wildfire occurrence and line tripping for high-voltage power line corridors.
Highlights
With fast economic growth in China, the demand for electric power has increased significantly, resulting in rapid progress in development of power infrastructure
One part of the historical line-tripping data was used for training to estimate the weight of each variable, and the logistic regression model was used to calculate the probability of line tripping when a wildfire occurs inside or near a high-voltage power line corridors (PLCs)
This paper presented a novel model developed to assess the risk of line tripping caused by wildfire occurrence in high-voltage PLCs
Summary
With fast economic growth in China, the demand for electric power has increased significantly, resulting in rapid progress in development of power infrastructure. Risk assessments of wildfire occurrence in high-voltage PLCs have rarely been reported far For line tripping, it means that a transmission line is tripped when it starts carrying the fault current or it gets broken. A novel model developed to assess the risk of line tripping caused by wildfire occurrence in high-voltage PLCs is presented. The probability of line tripping caused by wildfires was estimated with the logic regression method, but the influencing factors were selected based on the mechanism analysis of line tripping caused by wildfires With this model, some valuable suggestions in terms of predicting wildfire occurrence in high-voltage PLCs and line tripping caused by wildfires can be provided.
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