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