Hybrid artificial neural network and finite impulse response based relay algorithm for the detection of stochastic high impedance faults

C. H. Cheung, T. M. Lai, Ka Wing Chan, L. A. Snider, Wai Chau Edward Lo

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

High impedance faults (HIF) are faults which are difficult to be detected by overcurrent protection relays. This paper presents a practical pattern recognition based relay algorithm for electric distribution high impedance fault detection. The scheme recognizes the distortion of the voltage and current waveforms caused by the arcs usually associated with HIF. The analysis using Finite Impulse Response (FIR) filter bank yields three-phase voltage and current in the low frequency range which fed to a classifier for pattern recognition. The classifier is based on the algorithm using neural network approach. A HIF model was also developed, where the random nature of the arc was simulated using MATLAB.
Original languageEnglish
Title of host publicationProceedings of the Seventh IASTED International Multi-Conference - Power and Energy Systems
Pages159-163
Number of pages5
Volume7
Publication statusPublished - 1 Dec 2003
EventProceedings of the Seventh IASTED International Multi-Conference - Power and Energy Systems - Palm Springs, CA, United States
Duration: 24 Feb 200326 Feb 2003

Conference

ConferenceProceedings of the Seventh IASTED International Multi-Conference - Power and Energy Systems
Country/TerritoryUnited States
CityPalm Springs, CA
Period24/02/0326/02/03

Keywords

  • Finite Impulse Response Filter Bank
  • High Impedance Faults
  • Neural Network

ASJC Scopus subject areas

  • Development
  • Energy(all)

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