Using artificial intelligence for the control of medium voltage substations
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Institute of Electrical and Electronics Engineers (IEEE)
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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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Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference, v. 2, n. ASIA PACIFIC, p. 1214-1217, 2002.
