Using artificial intelligence for the control of medium voltage substations
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Data
2002-12-01
Autores
Melvin Avala, S.
Botura Jr., Galdenoro
Maldonado A, Oscar Armando [UNESP]
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Resumo
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.
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Artificial Intelligence, Artificial Neural Networks, Fuzzy Logic, Artificial intelligence, Electric generators, Fuzzy sets, Neural networks, Topology, Voltage control, Energy deficit, Electric substations
Como citar
Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference, v. 2, n. ASIA PACIFIC, p. 1214-1217, 2002.