Transient stability analysis of electrical power systems using a neural network based on fuzzy ARTMAP

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:20:56Z
dc.date.accessioned2022-10-05T17:51:04Z
dc.date.available2014-05-27T11:20:56Z
dc.date.available2022-10-05T17:51:04Z
dc.date.created2014-05-27T11:20:56Z
dc.date.issued2003-12-01
dc.identifier2003 IEEE Bologna PowerTech - Conference Proceedings, v. 3, p. 339-345.
dc.identifierhttp://hdl.handle.net/11449/67496
dc.identifier10.1109/PTC.2003.1304414
dc.identifier2-s2.0-84861496291
dc.identifier7166279400544764
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3917136
dc.description.abstractThis work presents a methodology to analyze transient stability for electric energy systems using artificial neural networks based on fuzzy ARTMAP architecture. This architecture seeks exploring similarity with computational concepts on fuzzy set theory and ART (Adaptive Resonance Theory) neural network. The ART architectures show plasticity and stability characteristics, which are essential qualities to provide the training and to execute the analysis. Therefore, it is used a very fast training, when compared to the conventional backpropagation algorithm formulation. Consequently, the analysis becomes more competitive, compared to the principal methods found in the specialized literature. Results considering a system composed of 45 buses, 72 transmission lines and 10 synchronous machines are presented. © 2003 IEEE.
dc.languageeng
dc.relation2003 IEEE Bologna PowerTech - Conference Proceedings
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectAdaptive resonance theory
dc.subjectFuzzy ARTMAP
dc.subjectNeural network
dc.subjectPower systems
dc.subjectTransient stability analysis
dc.subjectElectric energy systems
dc.subjectElectrical power system
dc.subjectFuzzy ARTMAP architecture
dc.subjectSynchronous machine
dc.subjectFrequency stability
dc.subjectFuzzy set theory
dc.subjectNeural networks
dc.subjectQuality control
dc.subjectStandby power systems
dc.subjectSynchronous machinery
dc.subjectTransient analysis
dc.subjectPower quality
dc.titleTransient stability analysis of electrical power systems using a neural network based on fuzzy ARTMAP
dc.typeTrabalho apresentado em evento


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