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Detection and Comparison of Power Quality Disturbances using Different Techniques

by Rajesh Ingale, Laxman Tawade
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Number 18
Year of Publication: 2013
Authors: Rajesh Ingale, Laxman Tawade
10.5120/13353-0385

Rajesh Ingale, Laxman Tawade . Detection and Comparison of Power Quality Disturbances using Different Techniques. International Journal of Computer Applications. 75, 18 ( August 2013), 48-53. DOI=10.5120/13353-0385

@article{ 10.5120/13353-0385,
author = { Rajesh Ingale, Laxman Tawade },
title = { Detection and Comparison of Power Quality Disturbances using Different Techniques },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 75 },
number = { 18 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 48-53 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume75/number18/13353-0385/ },
doi = { 10.5120/13353-0385 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:44:38.543938+05:30
%A Rajesh Ingale
%A Laxman Tawade
%T Detection and Comparison of Power Quality Disturbances using Different Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 18
%P 48-53
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Poor power quality can cause serious problems causing malfunction, instability, short lifetime, memory loss and data errors of sensitive loads etc. Electric power quality has become an important issue now days. To improve the power quality, sources of disturbances as well as detection techniques must be known. The purpose of this paper is to present different detection techniques for sag, swell, harmonics and make comparison between them. Signal processing techniques are used to extract features from measured data and detect triggering points or transition segment of disturbances.

References
  1. IEEE std. 1159, IEEE. Recommended Practice for Monitoring Electrical Power Quality 1995.
  2. Math H. J. Boolen, "Understanding Power Quality Problems: Voltage Sag And Interruptions", IEEE Press 2000.
  3. Roger C. Dugan/Mark F. Mc Granaghan, Surya Santoso/H. Wayne Beaty, "Electrical Power Systems Quality" Second Edition.
  4. M. S. Azam, Fang Tu, Krishna R. Pattipani, "A Dependency Model Based Approach For Identifying And Evaluating Power Quality Problems", IEEE Transactions On Power Dilivery, Vol. 19,No. 3, pp. 1154-1166 July 2004.
  5. Math H. J. Bollen, Irene Yu-Hua Gu, "Signal Processing Of Power Quality Disturbances. " Book in IEEE press serieson power engineering, A John Wiley And Sons, Inc. , Publication.
  6. Enrique Perez, Judio Barros, "Voltage Event Detection And Characterization Methods: A Comparative Study" IEEE PSE Transmission and Distribution Conference and Exposition Latin America, Venezuela, 2006
  7. Yu Hua Gu, Math H. J. Bollen, "Time Frequency And Time Scale Domain Analysis Of Voltage Disturbances" IEEE Transactions On Power Dilivery, Vol. 15,No. 4,pp. 1279-1284, October 2000
  8. Raj Naidoo, Pragasen Pillay "A New Method of Voltage Sag and Swell Detection" IEEE transactions on power delivery, vol. 22, no. 2, pp. 1056-1063, April 2007
  9. Irene Yu-Hua Gu, Emmanouil Styvaktakis, "Bridge The Gap: Signal Processing For Power Quality Applications", Electrical Power system research 66(2003) pp 83-96, 2003 Eleveries Science B. V.
Index Terms

Computer Science
Information Sciences

Keywords

Digital storage oscilloscope (DSO) Discrete Fourier transforms (DFT) Fast Fourier transforms (FFT) Root Mean Square (rms) single line to ground (SLG) fault and Short Time Fourier transforms (STFT)

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