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The Detailed Representation and Computation of the Traction Network and its Application to the Transient Analysis in Electrified Railways.

Authors :
Zhai, Yating
Wu, Mingli
Ying, Yichen
Li, Jing
Source :
IEEJ Transactions on Electrical & Electronic Engineering. Oct2021, Vol. 16 Issue 10, p1336-1350. 15p.
Publication Year :
2021

Abstract

This paper intends to derive a detailed representation and attain a suitable computation method for the traction network. The transient analysis of the lossy multiconductor transmission lines (MTLs) is performed considering the electromagnetic characteristics of the rail track, which accounts for the frequency‐dependent and distributed nature of the line parameters over the entire frequency range for the traction network. Due to the practical difficulty in wideband parameter determination and the complex layout for the traction power supply system, the model implemented has been validated by comparison to several field tests that are carried out on a real high speed railway line for the purpose of identifying possible power quality problem. The good high representation of the frequency‐dependent parameter and the numerical solution will provide a reliable method for the transient analysis of the electrified railway. Afterwards, the transient calculation using vector fitting and modal decomposition is presented to evaluate how the emission is propagating along the MTLs of the electrified railways. Performing detailed and suitable analysis is necessary to determine the overvoltage conditions during the transients. The outcome of the analysis could be beneficial for the transient protection study in the electrified railway system. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19314973
Volume :
16
Issue :
10
Database :
Academic Search Index
Journal :
IEEJ Transactions on Electrical & Electronic Engineering
Publication Type :
Academic Journal
Accession number :
152513724
Full Text :
https://doi.org/10.1002/tee.23441