Dynamic time-frequency analysis approach for power quality disturbance in distribution power system

Weijian Huang; Wenzhi Tian

doi:10.1117/12.806645

13 October 2008 Dynamic time-frequency analysis approach for power quality disturbance in distribution power system

Weijian Huang, Wenzhi Tian

Proceedings Volume 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment; 712815 (2008) https://doi.org/10.1117/12.806645
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

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.

Citation Download Citation

Weijian Huang and Wenzhi Tian "Dynamic time-frequency analysis approach for power quality disturbance in distribution power system", Proc. SPIE 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment, 712815 (13 October 2008); https://doi.org/10.1117/12.806645

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