DocumentCode :
2852502
Title :
A Novel Technique to Distinguish between Transient and Permanent Faults Based on Signal Wavelet Singularity Detection
Author :
Fenghua, Gao ; Shibin, Gao ; Shuping, Liu ; Nana, Chen
Author_Institution :
Sch. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China
Volume :
2
fYear :
2009
fDate :
16-18 Oct. 2009
Firstpage :
35
Lastpage :
39
Abstract :
This paper presents a simple technique for distinguishing the transient faults and permanent faults on transmission lines. Based on signal wavelet singularity detection, the modulus maxima of the wavelet transform at singular points in the fault phase voltages under different earth resistances is simulated. A system design based on signal wavelet singularity detection and fault phase selector is proposed to realize the single-pole adaptive reclosure. Theoretical analysis and MATLAB simulation results show that the proposed technique is correct and valid.
Keywords :
mathematics computing; power transmission faults; power transmission lines; wavelet transforms; MATLAB simulation; fault phase selector; fault phase voltages; modulus maxima; permanent faults; signal wavelet singularity detection; single pole adaptive reclosure; transient faults; transmission lines; wavelet transform; Adaptive signal detection; Earth; Fault detection; Phase detection; Power system transients; Signal detection; System analysis and design; Transmission line theory; Voltage; Wavelet transforms; permanent fault; signal wavelet singularity detection; single-pole adaptive reclosure; transient fault;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy and Environment Technology, 2009. ICEET '09. International Conference on
Conference_Location :
Guilin, Guangxi
Print_ISBN :
978-0-7695-3819-8
Type :
conf
DOI :
10.1109/ICEET.2009.245
Filename :
5365485
Link To Document :
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