An intelligent and efficient fault location and diagnosis scheme for radial distribution systems

In this paper, an effective fault location algorithm and intelligent fault diagnosis scheme are proposed. The proposed scheme first identifies fault locations using an iterative estimation of load and fault current at each line section. Then an actual location is identified, applying the current pat...

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Bibliographic Details
Published in:IEEE transactions on power delivery 2004-04, Vol.19 (2), p.524-532
Main Authors: Lee, S.-J., Choi, M.-S., Kang, S.-H., Jin, B.-G., Lee, D.-S., Ahn, B.-S., Yoon, N.-S., Kim, H.-Y., Wee, S.-B.
Format: Article
Language:English
Subjects:
Algorithms
Circuit faults
Computer simulation
Current measurement
Diagnosis
Fault currents
Fault diagnosis
Fault location
Faults
Impedance
Iterative algorithms
Pattern matching
Radial distribution
Uncertainty
Voltage
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Summary:In this paper, an effective fault location algorithm and intelligent fault diagnosis scheme are proposed. The proposed scheme first identifies fault locations using an iterative estimation of load and fault current at each line section. Then an actual location is identified, applying the current pattern matching rules. If necessary, comparison of the interrupted load with the actual load follows and generates the final diagnosis decision. Effect of load uncertainty and fault resistance has been carefully investigated through simulation results that turns out to be very satisfactory.
ISSN:0885-8977
1937-4208
DOI:10.1109/TPWRD.2003.820431