Lightning Strike Risk Classification of Power Distribution Line Tower Based on Support Vector Machine

Terrain and landform is an important factor affecting the lightning risk of power distribution line pole and tower. Accurately dividing the lightning risk of line corridor terrain and landform is beneficial to the differentiated lightning protection of power distribution line. Based on the statistic...

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Bibliographic Details
Published in2021 International Conference of Social Computing and Digital Economy (ICSCDE) pp. 192 - 195
Main Authors Zhang, Yumo, Deng, Yong, Wu, Ruke, Zhou, Lixing
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2021
Subjects
Artificial neural networks
BP neural network
Distribution line
Lightning protection
Lightning risk
Poles and towers
Power distribution lines
Social computing
Statistical analysis
Support vector machines
SVM
Topography
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Summary:Terrain and landform is an important factor affecting the lightning risk of power distribution line pole and tower. Accurately dividing the lightning risk of line corridor terrain and landform is beneficial to the differentiated lightning protection of power distribution line. Based on the statistical analysis of the survey data, the terrain and landform of the towers of distribution lines with different lightning risk were represented by 7 parameters, such as the height of the poles and towers and the inclination of the ground. BP neural network classifier and support vector machine are used to classify and identify the lightning strike risk of specific distribution line tower. The results show that the support vector machine optimization model can better identify the lightning strike risk of distribution line tower.
DOI:10.1109/ICSCDE54196.2021.00052