DocumentCode :
2473814
Title :
Lifting wavelet scheme and wavelet energy entropy theory for transient power quality detection
Author :
Liu, Hui ; Liu, Guohai ; Shen, Yue
Author_Institution :
Sch. of Electr. & Inf. Eng., JiangSu Univ., Zhenjiang
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
6011
Lastpage :
6016
Abstract :
Wavelet entropy (WE), which is calculated from the lifting wavelet transform (LWT) coefficients, is proposed to detect and locate power quality disturbances. As one of methods to build second-generation wavelets, LWT can be easy to achieve in time domain for its original bit location calculation and could lessen calculation complexity due to its particular structure, compared with first generation wavelet transform (WT) algorithm. As shown by the simulation experiment results, the proposed WE measurement scheme based on LWT approach has been validated efficient comparing with classical WT algorithm through various test scenarios, including oscillatory transients, voltage sag, and voltage swell, momentary interruption.
Keywords :
entropy; power supply quality; wavelet transforms; bit location calculation; first generation wavelet transform algorithm; lifting wavelet scheme; momentary interruption; oscillatory transients; power quality disturbances; second-generation wavelets; transient power quality detection; voltage sag; voltage swell; wavelet energy entropy theory; Discrete wavelet transforms; Entropy; Power harmonic filters; Power quality; Power system simulation; Power system transients; Signal processing algorithms; Voltage fluctuations; Voltage-controlled oscillators; Wavelet transforms; Lifting Wavelet Transform (LWT); Power Quality (PQ); Wavelet Entropy (WE); Wavelet Transform (WT);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4592853
Filename :
4592853
Link To Document :
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