Paper Info
Title
A novel differentiation sectionalized strengthen planning method for transmission line based on support vector regression
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.
Year
DOI
Venue
2019
10.1007/s00521-017-3308-x
Neural Computing and Applications
Keywords
Field
DocType
Differentiated planning, Icing extreme value probability, Line fault rate, Segmented strengthen, Economic assessment
Icing,Mathematical optimization,Exponential function,Transmission line,Extreme value theory,Segmentation,Support vector machine,Economic indicator,Failure rate,Mathematics
Journal
Volume
Issue
ISSN
31.0
8
1433-3058
Citations 
PageRank 
References 
1
0.36
8
Authors
6
Name
Order
Citations
PageRank
Jinshan Luo110.36
Dichen Liu210.36
Wu Jun332.09
Jing Yan410.36
Hongsheng Zhao531.42
Qixin Wang6192.14