A Spatial-correlated Scheme for Wavelet Transform based Power Quality Monitoring

H.-T. Yang and C.-C. Liao (Taiwan)


spatial-correlation, power quality monitoring, discrete wavelet transform, noise-suppression algorithm


The disturbance signal in a power system can be detected by comparing the wavelet transformed (WT) signal with an empirically given threshold. However, as the signal under analysis contains noises, especially the white noise with flat spectrum, the threshold is difficult. To enhance the WT technique in processing the noise-riding signals, this paper proposes a spatial-correlated noise-suppression algorithm. The abilities of the WT in detecting and localizing the dis turbances can hence be restored. Finally, employed are the actual data obtained from the practical power systems of Taiwan Power Company (TPC) to test the effectiveness of the developed de-noising scheme.

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