DocumentCode :
1770829
Title :
Physical modeling of arcing ground fault in cable insulation and statistical analysis of experimental results
Author :
Shirkovets, Andrey ; Telegin, Andrey
Author_Institution :
Int. Relations & Eng. Dept., BOLID LLC, Novosibirsk, Russia
fYear :
2014
fDate :
11-13 June 2014
Firstpage :
347
Lastpage :
350
Abstract :
Existing models on arcing ground faults do not represent exactly parameters of transient processes at single-phase faults in power cables. This paper presents the results of analysis of amplitude, velocity and time parameters for currents and voltages at arcing ground fault in power cable. The analysis is based on random samples obtained from real oscillograms. These oscillograms are recorded during experimental investigations in the 6 kV network. Hypotheses of distribution laws, outliers detection and correlational relationship are tested. Regression statistics is obtained for main parameters of arcing ground fault in impregnated cable insulation. Obtained statistical characteristics for arcing breakdown parameters can be used for further development of mathematical models of arcing ground faults in power cable insulation and for checking of relay protection efficiency using physical models. Statistical characteristics of arc power and arc resistance obtained at intermittent ground faults are considered as integral arc parameters.
Keywords :
arcs (electric); earthing; power cable insulation; relay protection; arc power; arc resistance; arcing ground fault; power cable insulation; regression statistics; relay protection efficiency; single phase faults; Circuit faults; Correlation; Electric breakdown; Power cable insulation; Power cables; Resistance; arc power; arc resistance; arcing ground fault; correlation coefficient; distribution law; linear regression; physical modeling; power cable insulation; statistical characteristics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Power Quality and Supply Reliability Conference (PQ), 2014
Conference_Location :
Rakvere
Print_ISBN :
978-1-4799-5020-1
Type :
conf
DOI :
10.1109/PQ.2014.6866838
Filename :
6866838
Link To Document :
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