Journal
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Volume 60, Issue 6, Pages 1986-1996Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2011.2115610
Keywords
Noise measurement; power quality; power system measurement; power system monitoring; wavelet transform
Funding
- National Science Council [NSC-93-2213-E-231-023]
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The wavelet transform (WT) technique has been proposed for detecting and localizing a transient disturbance in power systems. The disturbance is detected by comparing the transformed 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 give. Due to the nature of the flat spectrum, a filter cannot just get rid of the noise without removing the significant disturbance signals together. To enhance the WT technique in processing the noise-riding signals, this paper proposes a noise-suppression algorithm. The abilities of the WT in detecting and localizing the disturbances can hence be restored. Finally, this paper employed the actual data obtained from the practical power systems of Taiwan Power Company to test the effectiveness of the developed noise-suppression method.
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