dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorDelgado, M. A. J.
dc.creatorPourakbari-Kasmaei, M.
dc.creatorRider, M. J.
dc.creatorIEEE
dc.date2015-03-18T15:56:37Z
dc.date2016-10-25T20:35:51Z
dc.date2015-03-18T15:56:37Z
dc.date2016-10-25T20:35:51Z
dc.date2013-01-01
dc.date.accessioned2017-04-06T07:19:51Z
dc.date.available2017-04-06T07:19:51Z
dc.identifier2013 13th International Conference On Environment And Electrical Engineering (eeeic). New York: Ieee, p. 234-238, 2013.
dc.identifierhttp://hdl.handle.net/11449/117642
dc.identifierhttp://acervodigital.unesp.br/handle/11449/117642
dc.identifierWOS:000345761400043
dc.identifierhttp://ieeexplore.ieee.org/xpl/abstractAuthors.jsp?reload=true&arnumber=6737914
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/928289
dc.descriptionIn this paper a novel Branch and Bound (B&B) algorithm to solve the transmission expansion planning which is a non-convex mixed integer nonlinear programming problem (MINLP) is presented. Based on defining the options of the separating variables and makes a search in breadth, we call this algorithm a B&BML algorithm. The proposed algorithm is implemented in AMPL and an open source Ipopt solver is used to solve the nonlinear programming (NLP) problems of all candidates in the B&B tree. Strategies have been developed to address the problem of non-linearity and non-convexity of the search region. The proposed algorithm is applied to the problem of long-term transmission expansion planning modeled as an MINLP problem. The proposed algorithm has carried out on five commonly used test systems such as Garver 6-Bus, IEEE 24-Bus, 46-Bus South Brazilian test systems, Bolivian 57-Bus, and Colombian 93-Bus. Results show that the proposed methodology not only can find the best known solution but it also yields a large reduction between 24% to 77.6% in the number of NLP problems regarding to the size of the systems.
dc.languageeng
dc.publisherIeee
dc.relation2013 13th International Conference On Environment And Electrical Engineering (eeeic)
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBranch and Bound algorithm
dc.subjectnonlinear mixed integer programming
dc.subjecttransmission expansion planning
dc.titleA Modified Branch and Bound Algorithm to Solve the Transmission Expansion Planning Problem
dc.typeOtro


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