Using artificial intelligence for the control of medium voltage substations
Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference, v. 2, n. ASIA PACIFIC, p. 1214-1217, 2002.
Melvin Avala, S.
Botura Jr., Galdenoro
Maldonado A, Oscar Armando
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.