Performance analysis of wavelet based denoise system for power quality disturbances

Rodney H.G. Tan, V. K. Ramachandaramurthy

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

13 Citations (Scopus)

Abstract

The performance analysis of wavelet based denoise system for power quality disturbances including sag, swell, flicker, harmonic, transient and notch is presented in this paper. The denoise algorithm uses Daubechie family wavelet and a universal soft threshold technique applied on the detailed wavelet coefficients based on its standard deviation and data length. This eliminates and reduces the noise content in the signal. Lastly, the inverse discrete wavelet transform is done to reconstruct and recover the denoised PQ disturbance signal. All the disturbance signals are contaminated with Additive White Gaussian Noise of initial noise SNR of 30dB. The wavelet based denoise system in this paper shows excellent performance for sag, swell and flicker, good performance for harmonic, moderate performance for transient and poor performance for notch. The performance analysis presented in this paper provides an understanding of how the power quality disturbance frequency contents and its magnitude effect the performance of the wavelet based denoise system.

Original languageEnglish
Title of host publication2009 IEEE Bucharest PowerTech
Subtitle of host publicationInnovative Ideas Toward the Electrical Grid of the Future
DOIs
Publication statusPublished - 01 Dec 2009
Event2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future - Bucharest, Romania
Duration: 28 Jun 200902 Jul 2009

Publication series

Name2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future

Conference

Conference2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future
CountryRomania
CityBucharest
Period28/06/0902/07/09

Fingerprint

Power quality
Discrete wavelet transforms

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Tan, R. H. G., & Ramachandaramurthy, V. K. (2009). Performance analysis of wavelet based denoise system for power quality disturbances. In 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future [5281870] (2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future). https://doi.org/10.1109/PTC.2009.5281870
Tan, Rodney H.G. ; Ramachandaramurthy, V. K. / Performance analysis of wavelet based denoise system for power quality disturbances. 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future. 2009. (2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future).
@inproceedings{6b859eec80014d689a92573e43ffc48c,
title = "Performance analysis of wavelet based denoise system for power quality disturbances",
abstract = "The performance analysis of wavelet based denoise system for power quality disturbances including sag, swell, flicker, harmonic, transient and notch is presented in this paper. The denoise algorithm uses Daubechie family wavelet and a universal soft threshold technique applied on the detailed wavelet coefficients based on its standard deviation and data length. This eliminates and reduces the noise content in the signal. Lastly, the inverse discrete wavelet transform is done to reconstruct and recover the denoised PQ disturbance signal. All the disturbance signals are contaminated with Additive White Gaussian Noise of initial noise SNR of 30dB. The wavelet based denoise system in this paper shows excellent performance for sag, swell and flicker, good performance for harmonic, moderate performance for transient and poor performance for notch. The performance analysis presented in this paper provides an understanding of how the power quality disturbance frequency contents and its magnitude effect the performance of the wavelet based denoise system.",
author = "Tan, {Rodney H.G.} and Ramachandaramurthy, {V. K.}",
year = "2009",
month = "12",
day = "1",
doi = "10.1109/PTC.2009.5281870",
language = "English",
isbn = "9781424422357",
series = "2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future",
booktitle = "2009 IEEE Bucharest PowerTech",

}

Tan, RHG & Ramachandaramurthy, VK 2009, Performance analysis of wavelet based denoise system for power quality disturbances. in 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future., 5281870, 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future, 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future, Bucharest, Romania, 28/06/09. https://doi.org/10.1109/PTC.2009.5281870

Performance analysis of wavelet based denoise system for power quality disturbances. / Tan, Rodney H.G.; Ramachandaramurthy, V. K.

2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future. 2009. 5281870 (2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future).

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

TY - GEN

T1 - Performance analysis of wavelet based denoise system for power quality disturbances

AU - Tan, Rodney H.G.

AU - Ramachandaramurthy, V. K.

PY - 2009/12/1

Y1 - 2009/12/1

N2 - The performance analysis of wavelet based denoise system for power quality disturbances including sag, swell, flicker, harmonic, transient and notch is presented in this paper. The denoise algorithm uses Daubechie family wavelet and a universal soft threshold technique applied on the detailed wavelet coefficients based on its standard deviation and data length. This eliminates and reduces the noise content in the signal. Lastly, the inverse discrete wavelet transform is done to reconstruct and recover the denoised PQ disturbance signal. All the disturbance signals are contaminated with Additive White Gaussian Noise of initial noise SNR of 30dB. The wavelet based denoise system in this paper shows excellent performance for sag, swell and flicker, good performance for harmonic, moderate performance for transient and poor performance for notch. The performance analysis presented in this paper provides an understanding of how the power quality disturbance frequency contents and its magnitude effect the performance of the wavelet based denoise system.

AB - The performance analysis of wavelet based denoise system for power quality disturbances including sag, swell, flicker, harmonic, transient and notch is presented in this paper. The denoise algorithm uses Daubechie family wavelet and a universal soft threshold technique applied on the detailed wavelet coefficients based on its standard deviation and data length. This eliminates and reduces the noise content in the signal. Lastly, the inverse discrete wavelet transform is done to reconstruct and recover the denoised PQ disturbance signal. All the disturbance signals are contaminated with Additive White Gaussian Noise of initial noise SNR of 30dB. The wavelet based denoise system in this paper shows excellent performance for sag, swell and flicker, good performance for harmonic, moderate performance for transient and poor performance for notch. The performance analysis presented in this paper provides an understanding of how the power quality disturbance frequency contents and its magnitude effect the performance of the wavelet based denoise system.

UR - http://www.scopus.com/inward/record.url?scp=74949110205&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=74949110205&partnerID=8YFLogxK

U2 - 10.1109/PTC.2009.5281870

DO - 10.1109/PTC.2009.5281870

M3 - Conference contribution

AN - SCOPUS:74949110205

SN - 9781424422357

T3 - 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future

BT - 2009 IEEE Bucharest PowerTech

ER -

Tan RHG, Ramachandaramurthy VK. Performance analysis of wavelet based denoise system for power quality disturbances. In 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future. 2009. 5281870. (2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future). https://doi.org/10.1109/PTC.2009.5281870