The use of fault-recorder data for diagnosing timing and other related faults in electricity transmission networks

Mike Chantler, Paolo Pogliano, Arantza Aldea, Giorgio Tornielli, Thomas Wyatt, A. Jolley

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)

Abstract

This paper describes a model-based diagnostic system for diagnosing faults in Electrical Transmission Systems (Timely's off-line system). This diagnostic system uses data available from digital fault recorders which are collected after a network event (such as a short circuit) has occurred. The data are used to detect incipient faults in network equipment by comparing their operation against that predicted by extended finite state automaton known as Augmented Reactive Models (ARM). Thus Timely's off-line system combines signal processing and model based diagnostic techniques to provide a practical modelbased system that aids the analysis of the performance of protective equipment after a network event has occurred. In particular, its use of data derived directly from fault recorder files (such as voltage and impedance magnitudes) means that the system can diagnose much more subtle faults (e.g. timing related faults). © 2000 IEEE.

Original languageEnglish
Pages (from-to)1388-1393
Number of pages6
JournalIEEE Transactions on Power Systems
Volume15
Issue number4
DOIs
Publication statusPublished - Nov 2000

Keywords

  • Fault recorder data
  • High-voltage transmission networks
  • Model-based diagnosis

Fingerprint Dive into the research topics of 'The use of fault-recorder data for diagnosing timing and other related faults in electricity transmission networks'. Together they form a unique fingerprint.

Cite this