DocumentCode
77669
Title
High-Impedance Faulted Branch Identification Using Magnetic-Field Signature Analysis
Author
Sarlak, Mostafa ; Shahrtash, S. Mohammad
Author_Institution
Relay & Protection Res. Lab., Iran Univ. of Sci. & Technol. (IUST), Tehran, Iran
Volume
28
Issue
1
fYear
2013
fDate
Jan. 2013
Firstpage
67
Lastpage
74
Abstract
In this paper, for the first time, a high-impedance fault indicator (HIFI), to be mounted on the poles of distribution feeders, is proposed to detect and track down the location of high-impedance faults (HIFs). The main contribution of this paper is the investigation of employing the magnetic-field strength signal, measured in the vicinity of the conductors of a feeder, to detect HIFs based on a novel pattern recognition method. The proposed HIFIs should be installed so that the faulted branch identification becomes possible and simple (i.e., at the sending ends of branches). Applying the data for HIFs, insulator leakage current and harmonic load from field tests and for other similar phenomena from simulations has shown high security and dependability of the proposed method as a computational model for HIFI.
Keywords
conductors (electric); fault location; insulators; leakage currents; magnetic fields; pattern recognition; poles and towers; power distribution faults; power system harmonics; power system identification; power system security; HIF detection; HIFI; conductor; distribution feeder pole; field testing; harmonic load; high-impedance fault location; high-impedance faulted branch identification; insulator leakage current; magnetic-field signature analysis; magnetic-field strength signal; pattern recognition method; Accuracy; Conductors; Current measurement; Kernel; Mathematical model; Support vector machines; Training; Distribution networks; electromagnetic field; faulted branch indicator; high-impedance fault (HIF); mathematical morphology (MM); nonlinear support vector machines; protection;
fLanguage
English
Journal_Title
Power Delivery, IEEE Transactions on
Publisher
ieee
ISSN
0885-8977
Type
jour
DOI
10.1109/TPWRD.2012.2222056
Filename
6362254
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