DocumentCode :
3234505
Title :
On-line fault location scheme for power cable based on Arc characteristic
Author :
Zhang Qunfeng ; Xia Chengjun ; Zhang Hong
Author_Institution :
Foshan Power Supply Bur., Foshan, China
fYear :
2012
fDate :
18-20 Sept. 2012
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, a novel fault location scheme for 110kV XLPE cable based on wavelet analysis is presented. Three phase fault currents are collected by the fault recorders installed at the two terminals of the cable. One zero mode and two aerial modes are obtained after the recorded current signals are decoupled with phase-mode transformation. The arrival time of the travelling wave can be identified precisely with the α aerial mode by using the wavelet singularity detection technology. The proposed algorithm can position the fault without GPS and is independent of the wave velocity and fault transition impedance. This will help to solve the problem of cable changing parameters, especially the change of wave velocity due to the changing relative permittivity with age. Arc characteristics are considered by establishing the Cassie arc model. Several simulation cases are studied by using PSCAD/EMTDC and the results indicate the proposed scheme is feasible and reliable for application.
Keywords :
XLPE insulation; arcs (electric); fault currents; fault location; permittivity; power cable insulation; PSCAD/EMTDC; XLPE cable; aerial mode; aerial modes; arc characteristic; fault recorders; fault transition impedance; on-line fault location scheme; permittivity; phase-mode transformation; power cable; recorded current signals; three phase fault currents; travelling wave; voltage 110 kV; wave velocity; wavelet analysis; wavelet singularity detection technology; Analytical models; Fault location; Mathematical model; Power cables; Wavelet analysis; Wavelet transforms; Arc Characteristics; Frequency dependent cable model; On-line fault location scheme; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2012 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-1599-0
Type :
conf
DOI :
10.1109/PEAM.2012.6612548
Filename :
6612548
Link To Document :
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