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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Veröffentlicht in:	IEEE transactions on power delivery Jg. 28; H. 2; S. 1202 - 1212
Hauptverfasser:	Yimai Dong, Ce Zheng, Kezunovic, M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.04.2013 Institute of Electrical and Electronics Engineers
Schlagworte:	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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Abstract	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.
AbstractList	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.
Author	Yimai Dong Ce Zheng Kezunovic, M.
Author_xml	– sequence: 1 surname: Yimai Dong fullname: Yimai Dong email: dongy-imai@tamu.edu organization: Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA – sequence: 2 surname: Ce Zheng fullname: Ce Zheng email: zhengce@tamu.edu organization: Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA – sequence: 3 givenname: M. surname: Kezunovic fullname: Kezunovic, M. email: kezunov@ece.tamu.edu organization: Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
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Keywords	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
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SubjectTerms	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
Title	Enhancing Accuracy While Reducing Computation Complexity for Voltage-Sag-Based Distribution Fault Location
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