Time-Frequency Domain Reflectometry for Live HTS Cable System via Inductive Couplers and Neural Network

Yeong Ho Lee, Yong June Shin

Research output: Contribution to journalArticlepeer-review

Abstract

High-temperature superconducting (HTS) cable has become one of the most promising technology along with an adaptation of a unique superconducting conductor that allows long-distance transmission of the large volume of electronic power with less power loss. Diagnostic and monitoring technique for the reliable and safe operation of HTS cable system has also become a crucial factor to commercialize the HTS cable system in the regarding field. HTS cable system which needs a cooling process for re-activating superconductors is more affected by the loss of cost and time. This paper is proposing the time-frequency domain reflectometry (TFDR) based diagnostic technique for a live HTS cable system. By adapting inductive couplers, the live HTS cable system and the diagnostic signal would communicate without direct contact. Signal attenuation and distortion during the signal induction are compensated by LSTM-based neural network. The proposed method is applied to an AC 154 kV 600 MVA HTS cable system in and is further verified through Advanced Design System (ADS) software.

Original languageEnglish
Article number9382890
JournalIEEE Transactions on Applied Superconductivity
Volume31
Issue number5
DOIs
Publication statusPublished - 2021 Aug

Bibliographical note

Funding Information:
Manuscript received November 26, 2020; revised March 8, 2021; accepted March 16, 2021. Date of publication March 22, 2021; date of current version April 16, 2021. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Science, ICT, and Future Planning NRF-2020R1A2B5B03001692. (Corresponding author: Yong-June Shin.) The authors are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Korea (e-mail: yongjune@yonsei.ac.kr).

Publisher Copyright:
© 2002-2011 IEEE.

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Time-Frequency Domain Reflectometry for Live HTS Cable System via Inductive Couplers and Neural Network'. Together they form a unique fingerprint.

Cite this