Using artificial intelligence for the control of medium voltage substations

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorMelvin Avala, S.
dc.creatorBotura Jr., Galdenoro
dc.creatorMaldonado A, Oscar Armando
dc.date2014-05-27T11:20:33Z
dc.date2016-10-25T18:18:09Z
dc.date2014-05-27T11:20:33Z
dc.date2016-10-25T18:18:09Z
dc.date2002-12-01
dc.date.accessioned2017-04-06T01:03:52Z
dc.date.available2017-04-06T01:03:52Z
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.identifierhttp://acervodigital.unesp.br/handle/11449/67060
dc.identifier10.1109/TDC.2002.1177651
dc.identifier2-s2.0-0038308063
dc.identifierhttp://dx.doi.org/10.1109/TDC.2002.1177651
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/888552
dc.descriptionThis 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.rightsinfo:eu-repo/semantics/closedAccess
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.typeOtro


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