DocumentCode :
389842
Title :
Using artificial intelligence for the control of medium voltage substations
Author :
S, Melvin Ayala ; Botura, Galdenoro, Jr. ; A, Oscar A Maldonado
Author_Institution :
Electr. Test & Res. Center of Havana, Cuba
Volume :
2
fYear :
2002
fDate :
6-10 Oct. 2002
Firstpage :
1214
Abstract :
This paper introduces a method for the supervision and control of devices in electric substations using fuzzy logic and artificial neural networks. An automatic knowledge acquisition process is included which allows the on-line processing of operator actions and the extraction of control rules to replace gradually the human operator. Some experimental results obtained by the application of the implemented software in a simulated environment with random signal generators are presented.
Keywords :
fuzzy control; knowledge acquisition; neurocontrollers; substation automation; artificial intelligence; artificial neural networks; automatic knowledge acquisition process; control rules extraction; electric substations; fuzzy logic; human operator replacement; medium voltage substations control; on-line processing; operator actions; random signal generators; Application software; Artificial intelligence; Artificial neural networks; Automatic control; Fuzzy logic; Humans; Knowledge acquisition; Medium voltage; Substations; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES
Print_ISBN :
0-7803-7525-4
Type :
conf
DOI :
10.1109/TDC.2002.1177651
Filename :
1177651
Link To Document :
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