Sensitivity analysis by neural networks applied to power systems transient stability

Página do item simplificado
dc.contributor.authorLotufo, Anna Diva P.
dc.contributor.authorLopes, Mara Lucia M.
dc.contributor.authorMinussi, Carlos R.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:28:59Z
dc.date.available2014-05-20T13:28:59Z
dc.date.issued2007-05-01
dc.description.abstractThis work presents a procedure for transient stability analysis and preventive control of electric power systems, which is formulated by a multilayer feedforward neural network. The neural network training is realized by using the back-propagation algorithm with fuzzy controller and adaptation of the inclination and translation parameters of the nonlinear function. These procedures provide a faster convergence and more precise results, if compared to the traditional back-propagation algorithm. The adaptation of the training rate is effectuated by using the information of the global error and global error variation. After finishing the training, the neural network is capable of estimating the security margin and the sensitivity analysis. Considering this information, it is possible to develop a method for the realization of the security correction (preventive control) for levels considered appropriate to the system, based on generation reallocation and load shedding. An application for a multimachine power system is presented to illustrate the proposed methodology. (c) 2006 Elsevier B.V. All rights reserved.en
dc.description.affiliationUNESP, Dept Elect Engn, BR-15385000 Ilha Solteira, SP, Brazil
dc.description.affiliationUnespUNESP, Dept Elect Engn, BR-15385000 Ilha Solteira, SP, Brazil
dc.format.extent730-738
dc.identifierhttp://dx.doi.org/10.1016/j.epsr.2005.09.020
dc.identifier.citationElectric Power Systems Research. Lausanne: Elsevier B.V. Sa, v. 77, n. 7, p. 730-738, 2007.
dc.identifier.doi10.1016/j.epsr.2005.09.020
dc.identifier.issn0378-7796
dc.identifier.urihttp://hdl.handle.net/11449/9706
dc.identifier.wosWOS:000246018700002
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofElectric Power Systems Research
dc.relation.ispartofjcr2.856
dc.relation.ispartofsjr1,048
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectsensitivity analysispt
dc.subjectpreventive controlpt
dc.subjecttransient stabilitypt
dc.subjectneural networkspt
dc.subjectback-propagationpt
dc.titleSensitivity analysis by neural networks applied to power systems transient stabilityen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
unesp.author.lattes6022112355517660[1]
unesp.author.lattes7166279400544764[3]
unesp.author.orcid0000-0002-0192-2651[1]
unesp.author.orcid0000-0001-6428-4506[3]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Ilha Solteirapt

Arquivos

Licença do Pacote
Agora exibindo 1 - 1 de 1
Nenhuma Miniatura disponível
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição:

Coleções

Artigos - Engenharia Elétrica - FEIS