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Proceedings Paper

Dynamic time-frequency analysis approach for power quality disturbance in distribution power system
Author(s): Weijian Huang; Wenzhi Tian
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Paper Abstract

Power quality (PQ) is becoming prevalent and of critical importance for power industry recently. The quantitative detection of two distortions of voltage waveform, i.e., voltage sag and voltage swell, is conducted and on this base a novel approach based on wavelet transform (WT) to detect and locate the PQ disturbances is proposed. The signal containing noise is de-noised by wavelet transform to obtain a signal with higher signal-to-noise ratio, and then is input to the wavelet network; the synthesized method of recursive orthogonal least squares algorithm and improved Givens transform is used to fulfill the network structure; the fundamental component of the signal is estimated to extract the mixed information using wavelet network, and then the disturbance is acquired by subtracting the fundamental component; the principle of singularity detection using WT modulus maxima is presented and a dyadic wavelet transform approach for the detection and localization of the power quality disturbance is proposed. The simulation results demonstrate that the proposed method is effective.

Paper Details

Date Published: 13 October 2008
PDF: 4 pages
Proc. SPIE 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment, 712815 (13 October 2008); doi: 10.1117/12.806645
Show Author Affiliations
Weijian Huang, Hebei Univ. of Engineering (China)
Wenzhi Tian, Tangshan College (China)


Published in SPIE Proceedings Vol. 7128:
Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment

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