A new approach to high impedance fault detection based on correlation functions

Najmeh Faridnia; Haidar Samet; Babak Doostani Dezfuli

doi:10.1007/978-3-642-33409-2_47

A new approach to high impedance fault detection based on correlation functions

Najmeh Faridnia
, Haidar Samet
, Babak Doostani Dezfuli

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

16 Citations (Scopus)

Abstract

Detection of High Impedance Fault (HIF) that is mainly occurred in MV power systems has been a challenge due to its low current magnitude. A new HIF detection approach based on correlation functions is applied on the voltage and current signals in this paper. Twelve indices based on correlation functions are implemented and tried on a lot of cases. Some of them which have clearly different values for no-fault and HIF conditions are chosen. Simulation results prove the efficiency of proposed method for HIF detection.

Original language	English
Title of host publication	Artificial Intelligence Applications and Innovations
Subtitle of host publication	8th IFIP WG 12.5 International Conference, AIAI 2012, Halkidiki, Greece, September 27-30, 2012, Proceedings, Part I
Publisher	Springer
Chapter	47
Pages	453-462
Number of pages	10
ISBN (Print)	9783642334085
DOIs	https://doi.org/10.1007/978-3-642-33409-2_47
Publication status	Published - 2012
Externally published	Yes
Event	8th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2012 - Halkidiki, Greece Duration: 27 Sept 2012 → 30 Sept 2012 Conference number: 8

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	381
ISSN (Print)	1868-4238

Conference

Conference	8th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2012
Abbreviated title	AIAI 2012
Country/Territory	Greece
City	Halkidiki
Period	27/09/12 → 30/09/12

Keywords

auto correlation function (ACF)
high impedance fault detection (HIF)
partial auto correlation function (PACF)
SACF
SPACF

Access to Document

10.1007/978-3-642-33409-2_47

Cite this

Faridnia, N., Samet, H., & Doostani Dezfuli, B. (2012). A new approach to high impedance fault detection based on correlation functions. In Artificial Intelligence Applications and Innovations: 8th IFIP WG 12.5 International Conference, AIAI 2012, Halkidiki, Greece, September 27-30, 2012, Proceedings, Part I (pp. 453-462). (IFIP Advances in Information and Communication Technology; Vol. 381 ). Springer. https://doi.org/10.1007/978-3-642-33409-2_47

Faridnia, Najmeh ; Samet, Haidar ; Doostani Dezfuli, Babak. / A new approach to high impedance fault detection based on correlation functions. Artificial Intelligence Applications and Innovations: 8th IFIP WG 12.5 International Conference, AIAI 2012, Halkidiki, Greece, September 27-30, 2012, Proceedings, Part I. Springer, 2012. pp. 453-462 (IFIP Advances in Information and Communication Technology).

@inproceedings{6c7448061e1c435fbe5eb2d394669792,

title = "A new approach to high impedance fault detection based on correlation functions",

abstract = "Detection of High Impedance Fault (HIF) that is mainly occurred in MV power systems has been a challenge due to its low current magnitude. A new HIF detection approach based on correlation functions is applied on the voltage and current signals in this paper. Twelve indices based on correlation functions are implemented and tried on a lot of cases. Some of them which have clearly different values for no-fault and HIF conditions are chosen. Simulation results prove the efficiency of proposed method for HIF detection.",

keywords = "auto correlation function (ACF), high impedance fault detection (HIF), partial auto correlation function (PACF), SACF, SPACF",

author = "Najmeh Faridnia and Haidar Samet and \{Doostani Dezfuli\}, Babak",

year = "2012",

doi = "10.1007/978-3-642-33409-2\_47",

language = "English",

isbn = "9783642334085",

series = "IFIP Advances in Information and Communication Technology",

publisher = "Springer",

pages = "453--462",

booktitle = "Artificial Intelligence Applications and Innovations",

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note = "8th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2012, AIAI 2012 ; Conference date: 27-09-2012 Through 30-09-2012",

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Faridnia, N, Samet, H & Doostani Dezfuli, B 2012, A new approach to high impedance fault detection based on correlation functions. in Artificial Intelligence Applications and Innovations: 8th IFIP WG 12.5 International Conference, AIAI 2012, Halkidiki, Greece, September 27-30, 2012, Proceedings, Part I. IFIP Advances in Information and Communication Technology, vol. 381 , Springer, pp. 453-462, 8th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2012, Halkidiki, Greece, 27/09/12. https://doi.org/10.1007/978-3-642-33409-2_47

A new approach to high impedance fault detection based on correlation functions. / Faridnia, Najmeh; Samet, Haidar; Doostani Dezfuli, Babak.
Artificial Intelligence Applications and Innovations: 8th IFIP WG 12.5 International Conference, AIAI 2012, Halkidiki, Greece, September 27-30, 2012, Proceedings, Part I. Springer, 2012. p. 453-462 (IFIP Advances in Information and Communication Technology; Vol. 381 ).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - A new approach to high impedance fault detection based on correlation functions

AU - Faridnia, Najmeh

AU - Samet, Haidar

AU - Doostani Dezfuli, Babak

N1 - Conference code: 8

PY - 2012

Y1 - 2012

N2 - Detection of High Impedance Fault (HIF) that is mainly occurred in MV power systems has been a challenge due to its low current magnitude. A new HIF detection approach based on correlation functions is applied on the voltage and current signals in this paper. Twelve indices based on correlation functions are implemented and tried on a lot of cases. Some of them which have clearly different values for no-fault and HIF conditions are chosen. Simulation results prove the efficiency of proposed method for HIF detection.

AB - Detection of High Impedance Fault (HIF) that is mainly occurred in MV power systems has been a challenge due to its low current magnitude. A new HIF detection approach based on correlation functions is applied on the voltage and current signals in this paper. Twelve indices based on correlation functions are implemented and tried on a lot of cases. Some of them which have clearly different values for no-fault and HIF conditions are chosen. Simulation results prove the efficiency of proposed method for HIF detection.

KW - auto correlation function (ACF)

KW - high impedance fault detection (HIF)

KW - partial auto correlation function (PACF)

KW - SACF

KW - SPACF

UR - https://www.scopus.com/pages/publications/84870827871

U2 - 10.1007/978-3-642-33409-2_47

DO - 10.1007/978-3-642-33409-2_47

M3 - Conference contribution

SN - 9783642334085

T3 - IFIP Advances in Information and Communication Technology

SP - 453

EP - 462

BT - Artificial Intelligence Applications and Innovations

PB - Springer

T2 - 8th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2012

Y2 - 27 September 2012 through 30 September 2012

ER -

Faridnia N, Samet H, Doostani Dezfuli B. A new approach to high impedance fault detection based on correlation functions. In Artificial Intelligence Applications and Innovations: 8th IFIP WG 12.5 International Conference, AIAI 2012, Halkidiki, Greece, September 27-30, 2012, Proceedings, Part I. Springer. 2012. p. 453-462. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-642-33409-2_47

A new approach to high impedance fault detection based on correlation functions

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