TY - GEN
T1 - Windowed standard deviation-based transient feature extraction for earth fault protection in MV networks
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
SN - 9780947649449
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 -