DocumentCode :
2497904
Title :
Detection and identification of voltage disturbances via clustering and wavelets
Author :
Mukerjee, R.N. ; Tanggawelu, Badmanathan ; Ariffin, Aznan Ezraie ; Basha, Amir
Author_Institution :
Universiti Tenaga Nasional, Selangor, Malaysia
Volume :
1
fYear :
2002
fDate :
13-17 Oct 2002
Firstpage :
125
Abstract :
Use of consumer devices sensitive to power system disturbances, the increasing awareness of power quality issues and deregulation have created a need for extensive monitoring of the power system operation. In electric power distribution system operation, voltage disturbance is a common phenomenon. A fuzzy diagnostic technique is suggested for detecting the cause of voltage disturbance, so that appropriate remedial procedures could be initiated during system operation. The method uses indices like PN factor, characteristic voltage, zero sequence voltage and also proposes an index termed characteristic frequency, extracted from zero sequence voltage using wavelets.
Keywords :
fuzzy set theory; pattern recognition; power distribution faults; power supply quality; power system analysis computing; wavelet transforms; PN factor; characteristic frequency; characteristic voltage; common phenomenon; computer aided analysis; computer applications; consumer devices; deregulation; electric power distribution system operation; expert systems; fuzzy diagnostic technique; fuzzy systems; knowledge based systems; monitoring; power distribution; power quality issues; power system monitoring; power system operation; power systems; signal analysis; voltage disturbance; voltage disturbances detection; voltage disturbances identification; wavelet transforms; zero sequence voltage; Circuit faults; Computerized monitoring; Control systems; Frequency; Fuzzy systems; Power quality; Power system analysis computing; Power systems; Reactive power; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
Print_ISBN :
0-7803-7459-2
Type :
conf
DOI :
10.1109/ICPST.2002.1053517
Filename :
1053517
Link To Document :
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