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Academic Journal of Engineering and Technology Science, 2023, 6(1); doi: 10.25236/AJETS.2023.060109.

Selection of fault selection jump identification algorithms for high-speed railway traction networks

Author(s)

Yide Liu, Zihao Wang, Xingjun Tian

Corresponding Author:
Yide Liu
Affiliation(s)

School of Electrical and Electronic Engineering, Shijiazhuang Tiedao University, Shijiazhuang City, Hebei Province, 050043, China

Abstract

High-speed railways have become a new business card for China. When power supply faults occur in the electrical traction network of high-speed railways, the practice of sacrificing selectivity to ensure the reliability of the relay protection system often occurs, and a more effective relay protection scheme must be adopted if the reliability and selectivity of the protection system are to be taken into account. Fast and accurate identification of fault types and their removal from the traction network is of great significance for the stable operation of railway power supply systems. Therefore, it is particularly important to identify and locate fault solutions. This paper analyses the commonly used fault identification and location algorithms, determines the fault signal processing principles for fully parallel AT lines, determines which algorithms are used to identify and locate faults, and helps to improve the fault detection efficiency of railway power lines.

Keywords

High-speed railway; Traction power supply; Fault selection and jumping; Fault identification

Cite This Paper

Yide Liu, Zihao Wang, Xingjun Tian. Selection of fault selection jump identification algorithms for high-speed railway traction networks. Academic Journal of Engineering and Technology Science (2023) Vol. 6, Issue 1: 55-60. https://doi.org/10.25236/AJETS.2023.060109.

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