Abstract
Power lines, exposed in the natural environment, are vulnerable to various kinds of meteorological factors. Traditional research mainly deals with the influence of a single meteorological condition on the power line, which lacks of comprehensive effects evaluation and analysis of the multiple meteorological factors. In this paper, we use multiple meteorological monitoring data obtained by multi-sensors to implement the meteorological risk assessment and early warning of power lines. Firstly, we generate meteorological raster map from discrete meteorological monitoring data using spatial interpolation. Secondly, the expert scoring based analytic hierarchy process is used to compute the power line risk index of all kinds of meteorological conditions and establish the mathematical model of meteorological risk. By adopting this model in raster calculator of ArcGIS, we will have a raster map showing overall meteorological risks for power line. Finally, by overlaying the power line buffer layer to that raster map, we will get to know the exact risk index around a certain part of power line, which will provide significant guidance for power line risk management. In the experiment, based on five kinds of observation data gathered from meteorological stations in Guizhou Province of China, including wind, lightning, rain, ice, temperature, we carry on the meteorological risk analysis for the real power lines, and experimental results have proved the feasibility and validity of our proposed method.
Highlights
Power lines are important infrastructures for national electric power distribution and transmission
Power lines, exposed in the natural environment, are affected by normal mechanical load and power load, and vulnerable to various kinds of meteorological factors, such as wind, rain, ice, snow, ray, high temperature, etc. These factors will lead to aging, oxidation and corrosion of electrical components on the power line
The operation of power lines is influenced by various meteorological factors
Summary
Power lines are important infrastructures for national electric power distribution and transmission. In order to maintain power supply stability and safeguard the national economic development, strengthening the power line safe operation maintenance is important. Power lines, exposed in the natural environment, are affected by normal mechanical load and power load, and vulnerable to various kinds of meteorological factors, such as wind, rain, ice, snow, ray, high temperature, etc. These factors will lead to aging, oxidation and corrosion of electrical components on the power line. The operation of power lines is influenced by various meteorological factors. Multisource meteorological information needs to be integrated to implement comprehensive analysis in the process of power line inspection and equipment health monitoring
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