Please use this identifier to cite or link to this item:
http://acervodigital.unesp.br/handle/11449/9656
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Salazar, H. | - |
dc.contributor.author | Gallego, R. | - |
dc.contributor.author | Romero, R. | - |
dc.date.accessioned | 2014-05-20T13:28:55Z | - |
dc.date.accessioned | 2016-10-25T16:48:24Z | - |
dc.date.available | 2014-05-20T13:28:55Z | - |
dc.date.available | 2016-10-25T16:48:24Z | - |
dc.date.issued | 2006-07-01 | - |
dc.identifier | http://dx.doi.org/10.1109/TPWRD.2006.875854 | - |
dc.identifier.citation | IEEE Transactions on Power Delivery. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc., v. 21, n. 3, p. 1735-1742, 2006. | - |
dc.identifier.issn | 0885-8977 | - |
dc.identifier.uri | http://hdl.handle.net/11449/9656 | - |
dc.identifier.uri | http://acervodigital.unesp.br/handle/11449/9656 | - |
dc.description.abstract | One objective of the feeder reconfiguration problem in distribution systems is to minimize the power losses for a specific load. For this problem, mathematical modeling is a nonlinear mixed integer problem that is generally hard to solve. This paper proposes an algorithm based on artificial neural network theory. In this context, clustering techniques to determine the best training set for a single neural network with generalization ability are also presented. The proposed methodology was employed for solving two electrical systems and presented good results. Moreover, the methodology can be employed for large-scale systems in real-time environment. | en |
dc.format.extent | 1735-1742 | - |
dc.language.iso | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | - |
dc.source | Web of Science | - |
dc.subject | artificial neural networks (ANNs) | pt |
dc.subject | clustering techniques | pt |
dc.subject | feeder reconfiguration | pt |
dc.subject | optimization techniques | pt |
dc.title | Artificial neural networks and clustering techniques applied in the reconfiguration of distribution systems | en |
dc.type | outro | - |
dc.contributor.institution | Univ Tecnol Tereira | - |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | - |
dc.description.affiliation | Univ Tecnol Tereira, Pereira 097, Colombia | - |
dc.description.affiliation | UNESP, Dept Elect Engn, FEIS, BR-15385000 Ilha Solteira, SP, Brazil | - |
dc.description.affiliationUnesp | UNESP, Dept Elect Engn, FEIS, BR-15385000 Ilha Solteira, SP, Brazil | - |
dc.identifier.doi | 10.1109/TPWRD.2006.875854 | - |
dc.identifier.wos | WOS:000238704500091 | - |
dc.rights.accessRights | Acesso restrito | - |
dc.relation.ispartof | IEEE Transactions on Power Delivery | - |
Appears in Collections: | Artigos, TCCs, Teses e Dissertações da Unesp |
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.