Transient stability analysis of electric energy systems via a fuzzy ART-ARTMAP neural network

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dc.contributor.author Ferreira, W. P.
dc.contributor.author Silveira, MDG
dc.contributor.author Lotufo, ADP
dc.contributor.author Minussi, C. R.
dc.date.accessioned 2016-01-24T12:41:04Z
dc.date.available 2016-01-24T12:41:04Z
dc.date.issued 2006-04-01
dc.identifier http://dx.doi.org/10.1016/j.epsr.2005.09.008
dc.identifier.citation Electric Power Systems Research. Lausanne: Elsevier Science Sa, v. 76, n. 6-7, p. 466-475, 2006.
dc.identifier.issn 0378-7796
dc.identifier.uri http://repositorio.unifesp.br/handle/11600/28815
dc.description.abstract This work presents a methodology to analyze transient stability (first oscillation) of electric energy systems, using a neural network based on ART architecture (adaptive resonance theory), named fuzzy ART-ARTMAP neural network for real time applications. the security margin is used as a stability analysis criterion, considering three-phase short circuit faults with a transmission line outage. the neural network operation consists of two fundamental phases: the training and the analysis. the training phase needs a great quantity of processing for the realization, while the analysis phase is effectuated almost without computation effort. This is, therefore the principal purpose to use neural networks for solving complex problems that need fast solutions, as the applications in real time. the ART neural networks have as primordial characteristics the plasticity and the stability, which are essential qualities to the training execution and to an efficient analysis. the fuzzy ART-ARTMAP neural network is proposed seeking a superior performance, in terms of precision and speed, when compared to conventional ARTMAP, and much more when compared to the neural networks that use the training by backpropagation algorithm, which is a benchmark in neural network area. (c) 2005 Elsevier B.V. All rights reserved. en
dc.format.extent 466-475
dc.language.iso eng
dc.publisher Elsevier B.V.
dc.relation.ispartof Electric Power Systems Research
dc.rights Acesso restrito
dc.subject adaptive resonance theory en
dc.subject ART-ARTMAP en
dc.title Transient stability analysis of electric energy systems via a fuzzy ART-ARTMAP neural network en
dc.type Artigo
dc.rights.license http://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.contributor.institution Universidade Federal de São Paulo (UNIFESP)
dc.description.affiliation Universidade Federal de São Paulo, UNESP, Dept Elect Engn, BR-15385000 Ilha Solteira, SP, Brazil
dc.description.affiliationUnifesp Universidade Federal de São Paulo, UNESP, Dept Elect Engn, BR-15385000 Ilha Solteira, SP, Brazil
dc.identifier.doi 10.1016/j.epsr.2005.09.008
dc.description.source Web of Science
dc.identifier.wos WOS:000236048100009



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