AI automates substation control

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorAyala S, Melvin
dc.creatorBotura Jr., Galdenoro
dc.creatorMaldonado A, Oscar A.
dc.date2014-05-27T11:20:23Z
dc.date2016-10-25T18:17:32Z
dc.date2014-05-27T11:20:23Z
dc.date2016-10-25T18:17:32Z
dc.date2002-01-01
dc.date.accessioned2017-04-06T01:01:31Z
dc.date.available2017-04-06T01:01:31Z
dc.identifierIEEE Computer Applications in Power, v. 15, n. 1, p. 41-46, 2002.
dc.identifier0895-0156
dc.identifierhttp://hdl.handle.net/11449/66766
dc.identifierhttp://acervodigital.unesp.br/handle/11449/66766
dc.identifier10.1109/67.976991
dc.identifier2-s2.0-0036177219
dc.identifierhttp://dx.doi.org/10.1109/67.976991
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/888287
dc.descriptionAn overview is given on the possibility of controlling the status of circuit breakers (CB) in a substations with the use of a knowledge base that relates some of the operation magnitudes, mixing status variables with time variables and fuzzy sets. It is shown that even when all the magnitudes to be controlled cannot be included in the analysis, it is possible to control the desired status while supervising some important magnitudes as the voltage, power factor, and harmonic distortion, as well as the present status.
dc.languageeng
dc.relationIEEE Computer Applications in Power
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectArtificial intelligence
dc.subjectAutomation
dc.subjectElectric power factor correction
dc.subjectElectric power factor measurement
dc.subjectElectric substations
dc.subjectFuzzy control
dc.subjectHarmonic analysis
dc.subjectHuman computer interaction
dc.subjectKnowledge based systems
dc.subjectResponse time (computer systems)
dc.subjectVoltage control
dc.subjectAutomatic rule extraction
dc.subjectData acquisition card
dc.subjectInference module
dc.subjectSubstation control
dc.subjectComputer control systems
dc.titleAI automates substation control
dc.typeOtro


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