The Application of Similarity Measure for Power Quality Waveform Distortion Detection

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Abstract:

Power quality waveform distortion detection is one of the most important works for power quality diagnosis. It is the basis to decide when to record the fault power quality signals. This paper presents a new method to detect waveform distortion by similarity measure. 6 types of typical power quality events are simulated to compare the effect of distortion detection. Simulation results show that the distance measure is suit to waveform distortion detection and normalized distance has the best effect of detection.

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Key Engineering Materials (Volumes 439-440)

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304-308

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June 2010

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© 2010 Trans Tech Publications Ltd. All Rights Reserved

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[1] J. Arrillaga, M. H. J. Bollen, and N. R. Watson: Proc. IEEE, Vol. 88, No. 2 (2000), pp.246-261.

Google Scholar

[2] G. S. Hu, F. F. Zhu, Z. Ren: Expert Systems with Applications, Vol. 35 (2008), pp.143-149.

Google Scholar

[3] N. Xiang, Y. Xuan, J. M. Zhang: High Voltage Engineering, Vol. 29, No. 4(2003), pp.46-48.

Google Scholar

[4] X. Q. Chen, J. J. Cao, Z. Y. He, Z. F. Li: Electric Power Automation Equipment, Vol. 28, No. 9 (2008), pp.104-107.

Google Scholar

[5] M. H. J. Bollen: Electric Power Systems Research, Vol. 66 (2003), pp.5-14.

Google Scholar

[6] A. M. Gargoom, N. Ertugrul, W. L. Soong: IEEE Trans. on Power Delivery, Vol. 23, No. 4 (2008), pp.2417-2425.

DOI: 10.1109/tpwrd.2008.923998

Google Scholar

[7] M. Uyar, S. Yildirim, M. T. Gencoglu: Expert Systems with Applications, Vol. 36 (2009), pp.5962-5975.

Google Scholar