DocumentCode :
3473303
Title :
The detection and location of power quality disturbances based on orthogonal wavelet packet transform
Author :
Liu, Liyan ; Zeng, Zhezhao
Author_Institution :
Dept. of Electr. & Inf. Eng., Changsha Univ. of Sci.& Technol., Changsha
fYear :
2008
fDate :
6-9 April 2008
Firstpage :
1831
Lastpage :
1835
Abstract :
A novel method of power quality detection and location using orthogonal wavelet packet transform was proposed. First the theories of orthogonal wavelet packet transform and wavelet basis function choice were discussed; second power quality disturbances with white Gaussian noise in power frequency were simulated; then, a soft-threshold method based on the concept of universal threshold and Stein unbiased risk threshold was given for solving the problem of de-noising in actual signal detection; finally power quality disturbances were detected and localized using orthogonal wavelet packet transform. The results show that the method proposed has a better detection performance; it has more accurate detection and location of the occurrence time and duration of transient. The method is suitable for detection of the transient and processing other non-time- varying signal.
Keywords :
Gaussian noise; power supply quality; power system faults; signal denoising; signal detection; wavelet transforms; orthogonal wavelet packet transform; power quality disturbances detection; power quality disturbances location; wavelet basis function; white Gaussian noise; Frequency; Packaging; Power quality; Signal detection; Signal processing; Transient analysis; Voltage fluctuations; Wavelet analysis; Wavelet packets; Wavelet transforms; Orthogonal wavelet packet transform; Stein unbiased risk threshold; de-noising; power quality; signal detection; signal location; soft threshold; universal threshold;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
Type :
conf
DOI :
10.1109/DRPT.2008.4523704
Filename :
4523704
Link To Document :
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