Artificial neural networks for load flow and external equivalents studies
dc.contributor.author | Mueller, Heloisa H. | |
dc.contributor.author | Rider, Marcos J. [UNESP] | |
dc.contributor.author | Castro, Carlos A. | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.contributor.institution | Universidade Estadual de Campinas (UNICAMP) | |
dc.date.accessioned | 2014-05-20T13:29:16Z | |
dc.date.available | 2014-05-20T13:29:16Z | |
dc.date.issued | 2010-09-01 | |
dc.description.abstract | In this paper an artificial neural network (ANN) based methodology is proposed for (a) solving the basic load flow, (b) solving the load flow considering the reactive power limits of generation (PV) buses, (c) determining a good quality load flow starting point for ill-conditioned systems, and (d) computing static external equivalent circuits. An analysis of the input data required as well as the ANN architecture is presented. A multilayer perceptron trained with the Levenberg-Marquardt second order method is used. The proposed methodology was tested with the IEEE 30- and 57-bus, and an ill-conditioned 11-bus system. Normal operating conditions (base case) and several contingency situations including different load and generation scenarios have been considered. Simulation results show the excellent performance of the ANN for solving problems (a)-(d). (C) 2010 Elsevier B.V. All rights reserved. | en |
dc.description.affiliation | Univ Estadual Paulista, DEE FEIS UNESP, BR-15385000 Ilha Solteira, SP, Brazil | |
dc.description.affiliation | Univ Estadual Campinas, DSEE FEEC UNICAMP, BR-13083852 Campinas, SP, Brazil | |
dc.description.affiliationUnesp | Univ Estadual Paulista, DEE FEIS UNESP, BR-15385000 Ilha Solteira, SP, Brazil | |
dc.format.extent | 1033-1041 | |
dc.identifier | http://dx.doi.org/10.1016/j.epsr.2010.01.008 | |
dc.identifier.citation | Electric Power Systems Research. Lausanne: Elsevier B.V. Sa, v. 80, n. 9, p. 1033-1041, 2010. | |
dc.identifier.doi | 10.1016/j.epsr.2010.01.008 | |
dc.identifier.issn | 0378-7796 | |
dc.identifier.uri | http://hdl.handle.net/11449/9864 | |
dc.identifier.wos | WOS:000279293300005 | |
dc.language.iso | eng | |
dc.publisher | Elsevier B.V. Sa | |
dc.relation.ispartof | Electric Power Systems Research | |
dc.relation.ispartofjcr | 2.856 | |
dc.relation.ispartofsjr | 1,048 | |
dc.rights.accessRights | Acesso restrito | |
dc.source | Web of Science | |
dc.subject | Artificial neural networks | en |
dc.subject | Load flow | en |
dc.subject | Reactive power limits of generation buses | en |
dc.subject | Load flow with step size optimization | en |
dc.subject | Static external equivalents | en |
dc.title | Artificial neural networks for load flow and external equivalents studies | en |
dc.type | Artigo | |
dcterms.license | http://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy | |
dcterms.rightsHolder | Elsevier B.V. Sa | |
unesp.campus | Universidade Estadual Paulista (Unesp), Faculdade de Engenharia, Ilha Solteira | pt |
unesp.department | Engenharia Elétrica - FEIS | pt |
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