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Published in: Neural Computing and Applications 8/2019

19-01-2018 | Original Article

A novel differentiation sectionalized strengthen planning method for transmission line based on support vector regression

Authors: Jinshan Luo, Dichen Liu, Jun Wu, Jing Yan, Hongsheng Zhao, Qixin Wang

Published in: Neural Computing and Applications | Issue 8/2019

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Abstract

According to the ideas of risk assessment, the theory of support vector regression is introduced to forecast the ice thickness distribution and achieve the ice extreme value of the wire. Combined with the exponential function of failure rate when the line is under stress, the failure rate model of the line is established in the particular icing condition. The ice strengthening standard is developed by the icing thickness of transmission line, which is used to strengthen lines differentially. Especially, the lines that cross different meteorological conditions are strengthened by the method of segmentation. Finally, the method of economic assessment based on the total life cycle cost is improved, and the comprehensive failure rate is used to calculate differentiated “impairment” benefits. Different lines are made differentiated planning through the simulation example. Various economic indicators are comprehensively compared, in that case, economic assessment results of lines under different strengthening schemes are obtained, which proves the effectiveness of the proposed method.

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Metadata
Title
A novel differentiation sectionalized strengthen planning method for transmission line based on support vector regression
Authors
Jinshan Luo
Dichen Liu
Jun Wu
Jing Yan
Hongsheng Zhao
Qixin Wang
Publication date
19-01-2018
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 8/2019
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-017-3308-x

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