DocumentCode
1816207
Title
The study of voltage sag detection by improved S-transform
Author
Khosravi, M. ; Hajibagherifard, M.A. ; Bina, M. Tavakoli
Author_Institution
Fac. of Electr. Eng., K. N. Toosi Univ. of Technol., Tehran, Iran
fYear
2012
fDate
15-16 Feb. 2012
Firstpage
160
Lastpage
163
Abstract
Nowadays, Short Time Fourier Transform (STFT), Wavelet Transform (WT) and S-transform are applied for signal processing and power quality disturbance detection. But S-transform, Using localizing scalable Gaussian window called generalized S-transform, provides the best time-frequency resolution and is suitable for analysis and detection of power quality disturbance under noisy conditions. According to the operation of scalable window in S-transform, the mother wavelet function is suggested for improved S-transform as a scalable window. It is Important to specify the best mother wavelet function for accurate detection of power quality disturbance. In this paper, simulations have been performed to evaluate the effectiveness of five selective mother wavelet functions for detection of the voltage sag by the improved S-transform.
Keywords
Fourier transforms; power supply quality; power system faults; signal processing; wavelet transforms; S-transform; power quality disturbance detection; scalable Gaussian window; short time Fourier transform; signal processing; time-frequency resolution; voltage sag detection; wavelet function; wavelet transform; Continuous wavelet transforms; S-transform (ST); Voltage sag; power quality; time-frequency resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics and Drive Systems Technology (PEDSTC), 2012 3rd
Conference_Location
Tehran
Print_ISBN
978-1-4673-0111-4
Type
conf
DOI
10.1109/PEDSTC.2012.6183317
Filename
6183317
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