Windowed standard deviation-based transient feature extraction for earth fault protection in MV networks

Nagy I. Elkalashy; Abdelsalam M. Elhaffar; Mohamed F. Abdel-Fattah; M. Lehtonen; Naser G. Tarhuni

Windowed standard deviation-based transient feature extraction for earth fault protection in MV networks

Nagy I. Elkalashy, Abdelsalam M. Elhaffar, Mohamed F. Abdel-Fattah, M. Lehtonen, Naser G. Tarhuni

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

In this paper, the windowed standard deviation (WSTD) is used to extract the initial transients created in residual current waveforms generated due to earth faults in Medium Voltage (MV) compensated networks. The sliding window width used for computing the standard deviation is evaluated from the frequency filter point of view. The fault cases occurring in a compensated 20 kV network are simulated by ATP/EMTP concerning practical fault case such as arcing faults. Results provide evidence that the windowed standard deviation can be used to extract initial transients although they are non-stationary sinusoidal signals.

Original language	English
Title of host publication	Proceedings of the 44th International Universities Power Engineering Conference, UPEC2009
Publication status	Published - 2009
Event	44th International Universities Power Engineering Conference, UPEC2009 - Glasgow, United Kingdom Duration: Sept 1 2009 → Sept 4 2009

Publication series

Name	Proceedings of the Universities Power Engineering Conference

Other

Other	44th International Universities Power Engineering Conference, UPEC2009
Country/Territory	United Kingdom
City	Glasgow
Period	9/1/09 → 9/4/09

Keywords

Earth fault
Initial transients
Residual currents
Windowed standard deviation

ASJC Scopus subject areas

Energy Engineering and Power Technology

Cite this

Elkalashy, N. I., Elhaffar, A. M., Abdel-Fattah, M. F., Lehtonen, M., & Tarhuni, N. G. (2009). Windowed standard deviation-based transient feature extraction for earth fault protection in MV networks. In Proceedings of the 44th International Universities Power Engineering Conference, UPEC2009 Article 5429586 (Proceedings of the Universities Power Engineering Conference).

Windowed standard deviation-based transient feature extraction for earth fault protection in MV networks. / Elkalashy, Nagy I.; Elhaffar, Abdelsalam M.; Abdel-Fattah, Mohamed F. et al.
Proceedings of the 44th International Universities Power Engineering Conference, UPEC2009. 2009. 5429586 (Proceedings of the Universities Power Engineering Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Elkalashy, NI, Elhaffar, AM, Abdel-Fattah, MF, Lehtonen, M & Tarhuni, NG 2009, Windowed standard deviation-based transient feature extraction for earth fault protection in MV networks. in Proceedings of the 44th International Universities Power Engineering Conference, UPEC2009., 5429586, Proceedings of the Universities Power Engineering Conference, 44th International Universities Power Engineering Conference, UPEC2009, Glasgow, United Kingdom, 9/1/09.

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title = "Windowed standard deviation-based transient feature extraction for earth fault protection in MV networks",

abstract = "In this paper, the windowed standard deviation (WSTD) is used to extract the initial transients created in residual current waveforms generated due to earth faults in Medium Voltage (MV) compensated networks. The sliding window width used for computing the standard deviation is evaluated from the frequency filter point of view. The fault cases occurring in a compensated 20 kV network are simulated by ATP/EMTP concerning practical fault case such as arcing faults. Results provide evidence that the windowed standard deviation can be used to extract initial transients although they are non-stationary sinusoidal signals.",

keywords = "Earth fault, Initial transients, Residual currents, Windowed standard deviation",

author = "Elkalashy, {Nagy I.} and Elhaffar, {Abdelsalam M.} and Abdel-Fattah, {Mohamed F.} and M. Lehtonen and Tarhuni, {Naser G.}",

year = "2009",

language = "English",

isbn = "9780947649449",

series = "Proceedings of the Universities Power Engineering Conference",

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note = "44th International Universities Power Engineering Conference, UPEC2009 ; Conference date: 01-09-2009 Through 04-09-2009",

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AU - Elkalashy, Nagy I.

AU - Elhaffar, Abdelsalam M.

AU - Abdel-Fattah, Mohamed F.

AU - Lehtonen, M.

AU - Tarhuni, Naser G.

PY - 2009

Y1 - 2009

N2 - In this paper, the windowed standard deviation (WSTD) is used to extract the initial transients created in residual current waveforms generated due to earth faults in Medium Voltage (MV) compensated networks. The sliding window width used for computing the standard deviation is evaluated from the frequency filter point of view. The fault cases occurring in a compensated 20 kV network are simulated by ATP/EMTP concerning practical fault case such as arcing faults. Results provide evidence that the windowed standard deviation can be used to extract initial transients although they are non-stationary sinusoidal signals.

AB - In this paper, the windowed standard deviation (WSTD) is used to extract the initial transients created in residual current waveforms generated due to earth faults in Medium Voltage (MV) compensated networks. The sliding window width used for computing the standard deviation is evaluated from the frequency filter point of view. The fault cases occurring in a compensated 20 kV network are simulated by ATP/EMTP concerning practical fault case such as arcing faults. Results provide evidence that the windowed standard deviation can be used to extract initial transients although they are non-stationary sinusoidal signals.

KW - Earth fault

KW - Initial transients

KW - Residual currents

KW - Windowed standard deviation

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M3 - Conference contribution

AN - SCOPUS:77951763562

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T3 - Proceedings of the Universities Power Engineering Conference

BT - Proceedings of the 44th International Universities Power Engineering Conference, UPEC2009

T2 - 44th International Universities Power Engineering Conference, UPEC2009

Y2 - 1 September 2009 through 4 September 2009

ER -

Windowed standard deviation-based transient feature extraction for earth fault protection in MV networks

Abstract

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Keywords

ASJC Scopus subject areas

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