Volume 5 Number 4 (Aug. 2013)
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IJCEE 2013 Vol.5(4): 383-386 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2013.V5.736

Voltage Sag Detection through Wavelet Energy Coefficient

S. Debdas, S. Paikra, and T. Roy Choudhury
Abstract—In this work, a new voltage sag detection method based on wavelet transform is developed. Voltage sag detection algorithms, so far have provided their efficiency and computational ability. Several windowing techniques take long durations for disturbance detection. Due to increasing power quality standards new high quality performance disturbance detection techniques are necessary to obtain high power quality standard. Also research has been carried out for the last decade to isolate voltage sag detection form other voltage disturbances. In this paper a novel approach of wavelet transform has been carried out to detect voltage sag duration and magnitude. Results show that, the new approach provides very accurate and satisfactory voltage sag detection.

Index Terms—Power quality, voltage sag, wavelet transform, dyadic analysis.

S. Debdas and S. Paikra are with the ITM University, Raipur, India (e-mail: subhrad@itmuniversity.org, subhra.debdas@gmail.com, Santp@itmuniversity.org).
T. Roychudhury is with the Electrical Engineering Department, KIIT University Bhubaneswar, India (e-mail: tanmoy.nita2009@rediffmail.com).

Cite:S. Debdas, S. Paikra, and T. Roy Choudhury, "Voltage Sag Detection through Wavelet Energy Coefficient," International Journal of Computer and Electrical Engineering vol. 5, no. 4, pp. 383-386, 2013.

General Information

ISSN: 1793-8163
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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