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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/71476
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dc.contributor.authorGarcés, Lina-
dc.contributor.authorRomero, Rubén-
dc.date.accessioned2014-05-27T11:24:34Z-
dc.date.accessioned2016-10-25T18:28:08Z-
dc.date.available2014-05-27T11:24:34Z-
dc.date.available2016-10-25T18:28:08Z-
dc.date.issued2009-12-09-
dc.identifierhttp://dx.doi.org/10.1109/ISAP.2009.5352832-
dc.identifier.citation2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09.-
dc.identifier.urihttp://hdl.handle.net/11449/71476-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/71476-
dc.description.abstractThis paper presents a methodology to solve the transmission network expansion planning problem (TNEP) considering reliability and uncertainty in the demand. The proposed methodology provides an optimal expansion plan that allows the power system to operate adequately with an acceptable level of reliability and in an enviroment with uncertainness. The reliability criterion limits the expected value of the reliability index (LOLE - Loss Of Load Expectation) of the expanded system. The reliability is evaluated for the transmission system using an analytical technique based in enumeration. The mathematical model is solved, in a efficient way, using a specialized genetic algorithm of Chu-Beasley modified. Detailed results from an illustrative example are presented and discussed. © 2009 IEEE.en
dc.language.isoeng-
dc.sourceScopus-
dc.subjectGenetic algorithm-
dc.subjectMixed-integer non linear programming-
dc.subjectReliability-
dc.subjectTransmission expansion planning-
dc.subjectAnalytical techniques-
dc.subjectExpansion plans-
dc.subjectExpected values-
dc.subjectIllustrative examples-
dc.subjectLoss of load expectation-
dc.subjectPower systems-
dc.subjectReliability criterion-
dc.subjectReliability Index-
dc.subjectTransmission network expansion planning-
dc.subjectTransmission systems-
dc.subjectDynamic programming-
dc.subjectElectric power transmission-
dc.subjectElectric power transmission networks-
dc.subjectGenetic algorithms-
dc.subjectInteger programming-
dc.subjectIntelligent systems-
dc.subjectLinearization-
dc.subjectMathematical models-
dc.subjectOptimization-
dc.titleSpecialized genetic algorithm for transmission network expansion planning considering reliabilityen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationDepartment of Electrical Engineering Paulista State University - UNESP, Ilha Solteira, Sao Paulo, 15385-000-
dc.description.affiliationUnespDepartment of Electrical Engineering Paulista State University - UNESP, Ilha Solteira, Sao Paulo, 15385-000-
dc.identifier.doi10.1109/ISAP.2009.5352832-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartof2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09-
dc.identifier.scopus2-s2.0-76549094515-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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