DocumentCode :
2523753
Title :
Expert system for classification of measured three-phase unbalanced voltage dips
Author :
Deihimi, Ali ; Momeni, Abolfazl
Author_Institution :
Dept. of Electr. Eng., Bu-Ali Sina Univ., Hamedan, Iran
fYear :
2010
fDate :
10-12 Sept. 2010
Firstpage :
213
Lastpage :
216
Abstract :
This paper presents a new ANN-based expert system to classify voltage sags using measured three-phase voltages. The results of the proposed system is compared to those of previously proposed works such as symmetrical component (SC), six-phase (6P), three-phase three-angle (TPTA) algorithms developed to identify voltage sags of types C and D. Numerical examples and recorded voltages are used to validate the expert system.
Keywords :
expert systems; neural nets; power engineering computing; power supply quality; ANN-based expert system; recorded voltages; symmetrical component; three-phase three-angle algorithms; three-phase unbalanced voltage dips; voltage sag classification; Classification; Expert system; Voltage dips (sags);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanical and Electrical Technology (ICMET), 2010 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-8100-2
Electronic_ISBN :
978-1-4244-8102-6
Type :
conf
DOI :
10.1109/ICMET.2010.5598351
Filename :
5598351
Link To Document :
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