A correlation-based noise suppression algorithm for power quality monitoring through wavelet transform

Hong-Tzer Yang, Chiung Chou Liao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

The wavelet transform (WT) technique has been proposed for detecting and localizing transient disturbance in the power systems. The disturbance is detected by comparing the transformed signal with a 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 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 (TPC) to test the effectiveness of the developed de-noising scheme.

Original languageEnglish
Title of host publicationPowerCon 2000 - 2000 International Conference on Power System Technology, Proceedings
EditorsQi Su, Kit Po Wong, Bob Stewart, Xiaoxin Zhou
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1311-1316
Number of pages6
ISBN (Electronic)0780363388, 9780780363380
DOIs
Publication statusPublished - 2000 Jan 1
EventInternational Conference on Power System Technology, PowerCon 2000 - Perth, Australia
Duration: 2000 Dec 42000 Dec 7

Publication series

NamePowerCon 2000 - 2000 International Conference on Power System Technology, Proceedings
Volume3

Other

OtherInternational Conference on Power System Technology, PowerCon 2000
CountryAustralia
CityPerth
Period00-12-0400-12-07

Fingerprint

Power quality
Wavelet transforms
Monitoring
White noise
Processing
Industry

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Yang, H-T., & Liao, C. C. (2000). A correlation-based noise suppression algorithm for power quality monitoring through wavelet transform. In Q. Su, K. P. Wong, B. Stewart, & X. Zhou (Eds.), PowerCon 2000 - 2000 International Conference on Power System Technology, Proceedings (pp. 1311-1316). [898159] (PowerCon 2000 - 2000 International Conference on Power System Technology, Proceedings; Vol. 3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPST.2000.898159
Yang, Hong-Tzer ; Liao, Chiung Chou. / A correlation-based noise suppression algorithm for power quality monitoring through wavelet transform. PowerCon 2000 - 2000 International Conference on Power System Technology, Proceedings. editor / Qi Su ; Kit Po Wong ; Bob Stewart ; Xiaoxin Zhou. Institute of Electrical and Electronics Engineers Inc., 2000. pp. 1311-1316 (PowerCon 2000 - 2000 International Conference on Power System Technology, Proceedings).
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abstract = "The wavelet transform (WT) technique has been proposed for detecting and localizing transient disturbance in the power systems. The disturbance is detected by comparing the transformed signal with a 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 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 (TPC) to test the effectiveness of the developed de-noising scheme.",
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Yang, H-T & Liao, CC 2000, A correlation-based noise suppression algorithm for power quality monitoring through wavelet transform. in Q Su, KP Wong, B Stewart & X Zhou (eds), PowerCon 2000 - 2000 International Conference on Power System Technology, Proceedings., 898159, PowerCon 2000 - 2000 International Conference on Power System Technology, Proceedings, vol. 3, Institute of Electrical and Electronics Engineers Inc., pp. 1311-1316, International Conference on Power System Technology, PowerCon 2000, Perth, Australia, 00-12-04. https://doi.org/10.1109/ICPST.2000.898159

A correlation-based noise suppression algorithm for power quality monitoring through wavelet transform. / Yang, Hong-Tzer; Liao, Chiung Chou.

PowerCon 2000 - 2000 International Conference on Power System Technology, Proceedings. ed. / Qi Su; Kit Po Wong; Bob Stewart; Xiaoxin Zhou. Institute of Electrical and Electronics Engineers Inc., 2000. p. 1311-1316 898159 (PowerCon 2000 - 2000 International Conference on Power System Technology, Proceedings; Vol. 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - The wavelet transform (WT) technique has been proposed for detecting and localizing transient disturbance in the power systems. The disturbance is detected by comparing the transformed signal with a 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 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 (TPC) to test the effectiveness of the developed de-noising scheme.

AB - The wavelet transform (WT) technique has been proposed for detecting and localizing transient disturbance in the power systems. The disturbance is detected by comparing the transformed signal with a 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 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 (TPC) to test the effectiveness of the developed de-noising scheme.

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Yang H-T, Liao CC. A correlation-based noise suppression algorithm for power quality monitoring through wavelet transform. In Su Q, Wong KP, Stewart B, Zhou X, editors, PowerCon 2000 - 2000 International Conference on Power System Technology, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2000. p. 1311-1316. 898159. (PowerCon 2000 - 2000 International Conference on Power System Technology, Proceedings). https://doi.org/10.1109/ICPST.2000.898159