Abstract
As an important part of the power grid, transmission lines are vulnerable to external environment failures, which seriously threaten the safe operation of power grids. The power grid disaster caused by the harsh climate is aggravating, the damage caused by the electric power line icing is more and more serious, the light causes the flashover of the flashover, and the heavy accident caused by the damage of gold, the broken line and the tower and so on. The ice disaster has become a common problem facing the power grid in many countries. In this paper, in view of the problem of icing on transmission lines, the influence factors of icing on the wire are identified from the study of the mechanism of line icing production. On the basis of the ice cover data pre-processing model based on the Spark large data platform, the quantitative analysis model of the influence factors of the transmission line ice cover is constructed.
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Communicated by Jia-Bao Liu.
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Li, L., Luo, D. & Yao, W. Analysis of transmission line icing prediction based on CNN and data mining technology. Soft Comput 26, 7865–7870 (2022). https://doi.org/10.1007/s00500-022-06812-7
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DOI: https://doi.org/10.1007/s00500-022-06812-7