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

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

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.

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

[1] A. Y. Chikhani,et al. Power quality detection and classification using wavelet-multiresolution signal decomposition , 1999 .

[2] M. Kizilcay,et al. DIGITAL SIMULATION OF FAULT ARCS IN MEDIUM-VOLTAGE DISTRIBUTION NETWORKS , 2005 .

[3] Matti Lehtonen,et al. Advancing DWT-Bayesian Technique for Earth Fault Protection in MV Networks , 2009 .

[4] N.I. Elkalashy,et al. Universal arc representation using EMTP , 2005, IEEE Transactions on Power Delivery.

[5] Matti Lehtonen,et al. Simplified probabilistic selectivity technique for earth fault detection in unearthed MV networks , 2009 .

[6] C. S. Indulkar. Use of Random Variables in Power Transmission Engineering , 2004 .

[7] Nagy I. Elkalashy,et al. DWT and Bayesian technique for enhancing earth fault protection in MV networks , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.