A power-quality monitoring and assessment system for high-speed railways based on train-network-data center integration

In recent years, with the rapid development of high-speed railways (HSRs), power interruptions or disturbances in traction power supply systems have become increasingly dangerous. However, it is often impossible to detect these faults immediately through single-point monitoring or collecting data after accidents. To coordinate the power quality data of both traction power supply systems (TPSSs) and high-speed trains (HSTs), a monitoring and assessing system is proposed to access the power quality issues on HSRs. By integrating train monitoring, traction substation monitoring and data center, this monitoring system not only realizes the real-time monitoring of operational behaviors for both TPSSs and HSTs, but also conducts a comprehensive assessment of operational quality for train-network systems. Based on a large number of monitoring data, the field measurements show that this real-time monitoring system is effective for monitoring and evaluating a traction-network system.

• Record URL:
  https://doi.org/10.1007/s40534-020-00229-4
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/26624745
• Supplemental Notes:
  • © 2021 Jun Zhu et al.
• Authors:
  • Zhu, Jun
  • Hu, Haitao
  • He, Zhengyou
  • Guo, Xiaomin
  • Pan, Weiguo
• Publication Date: 2020-12

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: pp 30–41
• Serial:
  • Railway Engineering Science
  • Volume: 29
  • Issue Number: 1
  • Publisher: Springer Nature
  • ISSN: 2662-4745
  • Serial URL: https://www.springer.com/journal/40534

Subject/Index Terms

• TRT Terms: Data collection; Electric power supply; Energy consumption; High speed rail; Monitoring; Networks; Traction
• Subject Areas: Data and Information Technology; Energy; Railroads;

Filing Info

• Accession Number: 01769302
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 9 2021 5:33PM