DocumentCode :
976028
Title :
Accurate fault location in the power transmission line using support vector machine approach
Author :
Salat, Robert ; Osowski, Stanislaw
Author_Institution :
Warsaw Univ. of Agric., Poland
Volume :
19
Issue :
2
fYear :
2004
fDate :
5/1/2004 12:00:00 AM
Firstpage :
979
Lastpage :
986
Abstract :
The paper presents a new approach to the location of fault in the high-voltage power transmission line, relying on the application of the support vector machine and frequency characteristics of the measured one-terminal voltage and current transient signals of the system. The extensive numerical experiments performed for location of different kinds of faults of the transmission line have proved very good accuracy of fault location algorithm. The average error of fault location in a 200-km transmission line is below 100 m and the maximum error did not exceed 2 km.
Keywords :
fault location; neural nets; power engineering computing; power system transients; power transmission faults; power transmission lines; support vector machines; 200 km; current transient signals; fault location; power transmission line; support vector machine; terminal voltage; Circuit faults; Current measurement; Fault location; Frequency measurement; Power measurement; Power system transients; Power transmission lines; Support vector machines; Transmission line measurements; Voltage;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2004.825883
Filename :
1295008
Link To Document :
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