TY - JOUR
T1 - Time-frequency analysis of power-quality disturbances via the Gabor-Wigner transform
AU - Cho, Soo Hwan
AU - Jang, Gilsoo
AU - Kwon, Sae Hyuk
N1 - Funding Information:
Manuscript received January 13, 2009; revised June 21, 2009. First published December 11, 2009; current version published December 23, 2009. This work was supported by the Korea Science and Engineering Foundation (KOSEF) through the National Research Lab. Program funded by the Ministry of Science and Technology (No. 2009-0083187). Paper no. TPWRD–00912-2008. S. H. Cho is with the Korea Atomic Energy Research Institute (KAERI), Dae-jeon 305353, Korea. G. Jang and S. H. Kwon are with the School of Electrical Engineering, Korea University, Seoul 136701, Korea (e-mail: gjang@korea.ac.kr). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TPWRD.2009.2034832
PY - 2010/1
Y1 - 2010/1
N2 - Recently, many signal-processing techniques, such as fast Fourier transform, short-time Fourier transform, wavelet transform (WT), and wavelet packet transform (WPT), have been applied to detect, identify, and classify power-quality (PQ) disturbances. For research on PQ analysis, it is critical to apply the appropriate signal-processing techniques to solve PQ problems. In this paper, a new time-frequency analysis method, namely, the Gabor-Wigner transform (GWT), is introduced and applied to detect and identify PQ disturbances. Since GWT is an operational combination of the Gabor transform (GT) and the Wigner distribution function (WDF), it can overcome the disadvantages of both. GWT has two advantages which are that it has fewer cross-term problems than the WDF and higher clarity than the GT. Studies are presented which verify that the merits of GWT make it adequate for PQ analysis. In the case studies considered here, the various PQ disturbances, including voltage swell, voltage sag, harmonics, interharmonics, transients, voltage changes with multiple frequencies and voltage fluctuation, or flicker, will be thoroughly investigated by using this new time-frequency analysis method.
AB - Recently, many signal-processing techniques, such as fast Fourier transform, short-time Fourier transform, wavelet transform (WT), and wavelet packet transform (WPT), have been applied to detect, identify, and classify power-quality (PQ) disturbances. For research on PQ analysis, it is critical to apply the appropriate signal-processing techniques to solve PQ problems. In this paper, a new time-frequency analysis method, namely, the Gabor-Wigner transform (GWT), is introduced and applied to detect and identify PQ disturbances. Since GWT is an operational combination of the Gabor transform (GT) and the Wigner distribution function (WDF), it can overcome the disadvantages of both. GWT has two advantages which are that it has fewer cross-term problems than the WDF and higher clarity than the GT. Studies are presented which verify that the merits of GWT make it adequate for PQ analysis. In the case studies considered here, the various PQ disturbances, including voltage swell, voltage sag, harmonics, interharmonics, transients, voltage changes with multiple frequencies and voltage fluctuation, or flicker, will be thoroughly investigated by using this new time-frequency analysis method.
KW - Gabor transform (GT)
KW - Gabor-Wigner transform (GWT)
KW - Power-quality (PQ) analysis
KW - Time-frequency analysis
KW - Wigner distribution function (WDF)
UR - http://www.scopus.com/inward/record.url?scp=73849103893&partnerID=8YFLogxK
U2 - 10.1109/TPWRD.2009.2034832
DO - 10.1109/TPWRD.2009.2034832
M3 - Article
AN - SCOPUS:73849103893
SN - 0885-8977
VL - 25
SP - 494
EP - 499
JO - IEEE Transactions on Power Delivery
JF - IEEE Transactions on Power Delivery
IS - 1
M1 - 5352305
ER -