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

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

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	Proceedings of the Seventh IASTED International Multi-Conference - Power and Energy Systems
Pages	159-163
Number of pages	5
Volume	7
Publication status	Published - 1 Dec 2003
Event	Proceedings of the Seventh IASTED International Multi-Conference - Power and Energy Systems - Palm Springs, CA, United States Duration: 24 Feb 2003 → 26 Feb 2003

Conference

Conference	Proceedings of the Seventh IASTED International Multi-Conference - Power and Energy Systems
Country/Territory	United States
City	Palm Springs, CA
Period	24/02/03 → 26/02/03

Keywords

Finite Impulse Response Filter Bank
High Impedance Faults
Neural Network

ASJC Scopus subject areas

Development
General Energy

Cite this

@inproceedings{e0aff04237004f8db979098c383644fd,

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

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.",

keywords = "Finite Impulse Response Filter Bank, High Impedance Faults, Neural Network",

author = "Cheung, {C. H.} and Lai, {T. M.} and Chan, {Ka Wing} and Snider, {L. A.} and Lo, {Wai Chau Edward}",

year = "2003",

month = dec,

day = "1",

language = "English",

isbn = "0889863350",

volume = "7",

pages = "159--163",

booktitle = "Proceedings of the Seventh IASTED International Multi-Conference - Power and Energy Systems",

note = "Proceedings of the Seventh IASTED International Multi-Conference - Power and Energy Systems ; Conference date: 24-02-2003 Through 26-02-2003",

}

Cheung, CH, Lai, TM, Chan, KW, Snider, LA & Lo, WCE 2003, Hybrid artificial neural network and finite impulse response based relay algorithm for the detection of stochastic high impedance faults. in Proceedings of the Seventh IASTED International Multi-Conference - Power and Energy Systems. vol. 7, pp. 159-163, Proceedings of the Seventh IASTED International Multi-Conference - Power and Energy Systems, Palm Springs, CA, United States, 24/02/03.

Hybrid artificial neural network and finite impulse response based relay algorithm for the detection of stochastic high impedance faults. / Cheung, C. H.; Lai, T. M.; Chan, Ka Wing et al.
Proceedings of the Seventh IASTED International Multi-Conference - Power and Energy Systems. Vol. 7 2003. p. 159-163.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Hybrid artificial neural network and finite impulse response based relay algorithm for the detection of stochastic high impedance faults

AU - Cheung, C. H.

AU - Lai, T. M.

AU - Chan, Ka Wing

AU - Snider, L. A.

AU - Lo, Wai Chau Edward

PY - 2003/12/1

Y1 - 2003/12/1

N2 - 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.

AB - 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.

KW - Finite Impulse Response Filter Bank

KW - High Impedance Faults

KW - Neural Network

UR - http://www.scopus.com/inward/record.url?scp=1542411979&partnerID=8YFLogxK

M3 - Conference article published in proceeding or book

SN - 0889863350

VL - 7

SP - 159

EP - 163

BT - Proceedings of the Seventh IASTED International Multi-Conference - Power and Energy Systems

T2 - Proceedings of the Seventh IASTED International Multi-Conference - Power and Energy Systems

Y2 - 24 February 2003 through 26 February 2003

ER -

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

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