DC Traction Power Supply System Reliability Evaluation and Robust Design

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Traction power supply system is one of the most important part of the railway system, which is responsible for providing electricity to power the running trains and other operating equipment. The performance of power supply has a profound impact on the railway system. Therefore, it is necessary to do research on the reliability of the power supply system and ensure its high reliability. This paper introduces some reliability-related indexes and proposes a method to evaluate the system reliability of DC electrified railway. Fault Tree Analysis (FTA) method is applied to perform reliability evaluation. This paper also proposes several methods to improve system reliability, providing guidelines for the robust design of the traction power supply system and substations in the future.

Original languageEnglish
Title of host publicationProceedings of 2019 IEEE 3rd International Electrical and Energy Conference, CIEEC 2019
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1153-1158
Number of pages6
ISBN (Electronic)9781728116754
DOIs
Publication statusPublished - Sept 2019
Event3rd IEEE International Electrical and Energy Conference, CIEEC 2019 - Beijing, China
Duration: 7 Sept 20199 Sept 2019

Publication series

NameProceedings of 2019 IEEE 3rd International Electrical and Energy Conference, CIEEC 2019

Conference

Conference3rd IEEE International Electrical and Energy Conference, CIEEC 2019
Country/TerritoryChina
CityBeijing
Period7/09/199/09/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • DC power supply
  • fault tree analysis (FTA)
  • reliability evaluation
  • Traction power supply system (TPSS)

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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