Intelligent detection of unstable power swing for correct distance relay operation using S-transform and neural networks

Ahmad Farid Abidin, Azah Mohamed, Hussain Shareef

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

The conventional power swing schemes used in distance relay operation are not fast enough to detect and distinguish a fault, stable swing and unstable swing and this may lead to unintended tripping of protection devices. Therefore, there is a need for fast detection of unstable swings so as to improve the reliability of distance relay operation. This paper presents an intelligent approach for detecting unstable swings during distance relay operation using the S-transform signal processing technique and artificial neural networks. To illustrate the effectiveness of the proposed approach, simulations were carried out on the IEEE 39 bus test system using the PSS/E software. Test results showed that the proposed approach using S-transform, multi layer perceptron network and probabilistic neural network can accurately detect and classify fault, stable swing, unstable swing, fault clearance and post fault events for correct distance relay operation.

Original languageEnglish
Pages (from-to)14969-14975
Number of pages7
JournalExpert Systems with Applications
Volume38
Issue number12
DOIs
Publication statusPublished - Nov 2011
Externally publishedYes

Keywords

  • Artificial neural network (ANN)
  • Distance relay
  • Fault
  • S-transform
  • Stable swing
  • Unstable swing

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

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