DocumentCode :
2938377
Title :
Ultra-High Speed Fault Phase Selection Method Using Morphology-Wavelet Transform
Author :
Hu Yuanchao ; Ruan Jiangjun ; Li, Zhou ; Wang Dong ; Zhang Yujiao ; Zhou Li
Author_Institution :
Sch. of Electr. Eng., Wuhan Univ., Wuhan, China
fYear :
2011
fDate :
25-28 March 2011
Firstpage :
1
Lastpage :
4
Abstract :
Proposed a morphological filter and wavelet transform combined method for super high-speed fault phase selection. In this method, the amount of the fault phase transformation by Karen Bell fault components into modules. And then strike the wavelet transform modulus maxima modulus, and finally according to characteristics of modulus maximum modulus construct a new component fault phase. The selector achieved by this method can overcome the lack of traditional phase selection, not only with high-speed characteristics, but also without the influence of transition resistances and the mode of the power system, so, the phase selection results are accurate and reliable. A large number of simulation results show the selector´s effectiveness and correctness.
Keywords :
fault diagnosis; power overhead lines; power systems; power transmission faults; wavelet transforms; Karen Bell fault component; fault phase transformation; maxima modulus; morphological filter; morphology-wavelet transform; transition resistance; ultra-high speed fault phase selection method; Filtering; Power systems; Simulation; Transient analysis; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
ISSN :
2157-4839
Print_ISBN :
978-1-4244-6253-7
Type :
conf
DOI :
10.1109/APPEEC.2011.5748963
Filename :
5748963
Link To Document :
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