Enhancing Accuracy While Reducing Computation Complexity for Voltage-Sag-Based Distribution Fault Location

A fault-location method for radial distribution systems is proposed in this paper. The proposed method uses voltage and current phasors from feeder root and voltage sags measured at sparse nodes along the feeder, and pinpoints faults to the nearest node. Decision-tree (DT)-based fault segment identi...

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Vydáno v:IEEE transactions on power delivery Ročník 28; číslo 2; s. 1202 - 1212
Hlavní autoři: Yimai Dong, Ce Zheng, Kezunovic, M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.04.2013
Institute of Electrical and Electronics Engineers
Témata:
Accuracy
Applied sciences
Circuit faults
Current measurement
Decision trees (DTs)
Disturbances. Regulation. Protection
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
fault location
Impedance
Knowledge based systems
Miscellaneous
optimal sensor placement
power distribution
Power networks and lines
Power quality
Testing. Reliability. Quality control
Voltage measurement
voltage sags
Positioning
Radial distribution
optimal sensor placement
Phasor
Measurement sensor
fault location
Power system stability
Algorithm
Decision tree
Computational complexity
Implementation
Optimal design
voltage sags
Electrical network
Power distribution
Defect localization
Voltage stability
Voltage dip
Decision trees (DTs)
Distribution network
Voltage distribution
Comparative study
Electric fault
Defect detection
ISSN:0885-8977, 1937-4208
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Shrnutí:A fault-location method for radial distribution systems is proposed in this paper. The proposed method uses voltage and current phasors from feeder root and voltage sags measured at sparse nodes along the feeder, and pinpoints faults to the nearest node. Decision-tree (DT)-based fault segment identification is introduced before the process of node selection to reduce the computational complexity and improve fault-location accuracy. The method has been implemented on a practical distribution system and tested under a large number of fault scenarios. Test results are compared with those from the traditional voltage-sag-based fault-location algorithm using the same inputs, and the conclusion is that the proposed method can achieve more reliable results while maintaining computational simplicity. A quantitative method to suggest the optimal placement of measurement units based on the DT variable importance is proposed at the end.
ISSN:0885-8977
1937-4208
DOI:10.1109/TPWRD.2013.2247639