dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:24:34Z
dc.date.available2014-05-27T11:24:34Z
dc.date.created2014-05-27T11:24:34Z
dc.date.issued2009-12-09
dc.identifier2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09.
dc.identifierhttp://hdl.handle.net/11449/71476
dc.identifier10.1109/ISAP.2009.5352832
dc.identifier2-s2.0-76549094515
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.
dc.languageeng
dc.relation2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09
dc.rightsAcesso aberto
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 reliability
dc.typeActas de congresos


Este ítem pertenece a la siguiente institución