Using artificial intelligence for the control of medium voltage substations

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:20:33Z
dc.date.accessioned2022-10-05T17:47:46Z
dc.date.available2014-05-27T11:20:33Z
dc.date.available2022-10-05T17:47:46Z
dc.date.created2014-05-27T11:20:33Z
dc.date.issued2002-12-01
dc.identifierProceedings of the IEEE Power Engineering Society Transmission and Distribution Conference, v. 2, n. ASIA PACIFIC, p. 1214-1217, 2002.
dc.identifierhttp://hdl.handle.net/11449/67060
dc.identifier10.1109/TDC.2002.1177651
dc.identifier2-s2.0-0038308063
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3916753
dc.description.abstractThis 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.
dc.languageeng
dc.relationProceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectArtificial Intelligence
dc.subjectArtificial Neural Networks
dc.subjectFuzzy Logic
dc.subjectArtificial intelligence
dc.subjectElectric generators
dc.subjectFuzzy sets
dc.subjectNeural networks
dc.subjectTopology
dc.subjectVoltage control
dc.subjectEnergy deficit
dc.subjectElectric substations
dc.titleUsing artificial intelligence for the control of medium voltage substations
dc.typeTrabalho apresentado em evento


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