Keywords
distribution line, topography, neural network, lightning risk
Abstract
According to the theory of lightning leader, the influence of tower topography on the lightning risk of distribution lineis analyzed in this paper. Firstly, the tower elevation, ground inclination, soil resistivity and other parameters are applied to characterize the tower topography, and then the quantitative value assignment rules of provided parameters are established. Secondly, the BP artificial neural network classifier is constructed to classify the topography of distribution line towers in mountainous areas, which can meet the practical requirements of lightning risk identification of distribution line towers. The case application results are consistent with the actual situation. The proposed method provides a new idea for differential lightning protection of distribution lines in mountainous areas.
DOI
10.19781/j.issn.1673-9140.2021.04.009
First Page
66
Last Page
72
Recommended Citation
Kuang, Fuzhi; Li, Xia; Zhong, Xiangping; Xu, Zeyu; and Zhou, Lixing
(2021)
"Classification of lightning strike risk for distribution line tower terrain in mountainous area,"
Journal of Electric Power Science and Technology: Vol. 36:
Iss.
4, Article 9.
DOI: 10.19781/j.issn.1673-9140.2021.04.009
Available at:
https://jepst.researchcommons.org/journal/vol36/iss4/9