Simplified probabilistic selectivity technique for earth fault detection in unearthed MV networks

N. I. Elkalashy, N. G. Tarhuni, M. Lehtonen

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

A novel selectivity technique to identify the faulty feeder in unearthed Medium Voltage (MV) networks is introduced. The proposed technique is based on a simplified probabilistic method applied to transient features extracted from the residual currents only using the discrete wavelet transform (DWT). DWT will enhance the accuracy of localising fault events with different fault resistances and the probability will give the protection decision (detection/selectivity). The standard deviation of a window of the DWT detail coefficient is used to detect the fault and an adaptive threshold is used as input to the probability function to estimate the faulty feeder. A faulty unearthed 20kV network is simulated by ATP/EMTP imitating practical fault cases such as arcing and tree leaning faults. The time-domain test cases provide evidence of the efficacy of the proposed technique.

Original languageEnglish
Pages (from-to)145-153
Number of pages9
JournalIET Generation, Transmission and Distribution
Volume3
Issue number2
DOIs
Publication statusPublished - 2009

Fingerprint

Discrete wavelet transforms
Fault detection
Earth (planet)
Electric potential
Adenosinetriphosphate

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Simplified probabilistic selectivity technique for earth fault detection in unearthed MV networks. / Elkalashy, N. I.; Tarhuni, N. G.; Lehtonen, M.

In: IET Generation, Transmission and Distribution, Vol. 3, No. 2, 2009, p. 145-153.

Research output: Contribution to journalArticle

@article{264974b2c1314da39b9d30c424fdd65d,
title = "Simplified probabilistic selectivity technique for earth fault detection in unearthed MV networks",
abstract = "A novel selectivity technique to identify the faulty feeder in unearthed Medium Voltage (MV) networks is introduced. The proposed technique is based on a simplified probabilistic method applied to transient features extracted from the residual currents only using the discrete wavelet transform (DWT). DWT will enhance the accuracy of localising fault events with different fault resistances and the probability will give the protection decision (detection/selectivity). The standard deviation of a window of the DWT detail coefficient is used to detect the fault and an adaptive threshold is used as input to the probability function to estimate the faulty feeder. A faulty unearthed 20kV network is simulated by ATP/EMTP imitating practical fault cases such as arcing and tree leaning faults. The time-domain test cases provide evidence of the efficacy of the proposed technique.",
author = "Elkalashy, {N. I.} and Tarhuni, {N. G.} and M. Lehtonen",
year = "2009",
doi = "10.1049/iet-gtd:20070523",
language = "English",
volume = "3",
pages = "145--153",
journal = "IET Generation, Transmission and Distribution",
issn = "1751-8687",
publisher = "Institution of Engineering and Technology",
number = "2",

}

TY - JOUR

T1 - Simplified probabilistic selectivity technique for earth fault detection in unearthed MV networks

AU - Elkalashy, N. I.

AU - Tarhuni, N. G.

AU - Lehtonen, M.

PY - 2009

Y1 - 2009

N2 - A novel selectivity technique to identify the faulty feeder in unearthed Medium Voltage (MV) networks is introduced. The proposed technique is based on a simplified probabilistic method applied to transient features extracted from the residual currents only using the discrete wavelet transform (DWT). DWT will enhance the accuracy of localising fault events with different fault resistances and the probability will give the protection decision (detection/selectivity). The standard deviation of a window of the DWT detail coefficient is used to detect the fault and an adaptive threshold is used as input to the probability function to estimate the faulty feeder. A faulty unearthed 20kV network is simulated by ATP/EMTP imitating practical fault cases such as arcing and tree leaning faults. The time-domain test cases provide evidence of the efficacy of the proposed technique.

AB - A novel selectivity technique to identify the faulty feeder in unearthed Medium Voltage (MV) networks is introduced. The proposed technique is based on a simplified probabilistic method applied to transient features extracted from the residual currents only using the discrete wavelet transform (DWT). DWT will enhance the accuracy of localising fault events with different fault resistances and the probability will give the protection decision (detection/selectivity). The standard deviation of a window of the DWT detail coefficient is used to detect the fault and an adaptive threshold is used as input to the probability function to estimate the faulty feeder. A faulty unearthed 20kV network is simulated by ATP/EMTP imitating practical fault cases such as arcing and tree leaning faults. The time-domain test cases provide evidence of the efficacy of the proposed technique.

UR - http://www.scopus.com/inward/record.url?scp=60649103385&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=60649103385&partnerID=8YFLogxK

U2 - 10.1049/iet-gtd:20070523

DO - 10.1049/iet-gtd:20070523

M3 - Article

VL - 3

SP - 145

EP - 153

JO - IET Generation, Transmission and Distribution

JF - IET Generation, Transmission and Distribution

SN - 1751-8687

IS - 2

ER -