dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniv Melbourne
dc.contributorUniv Manchester
dc.date.accessioned2019-10-04T12:42:21Z
dc.date.accessioned2022-12-19T18:15:27Z
dc.date.available2019-10-04T12:42:21Z
dc.date.available2022-12-19T18:15:27Z
dc.date.created2019-10-04T12:42:21Z
dc.date.issued2018-01-01
dc.identifier2018 Australasian Universities Power Engineering Conference (aupec). New York: Ieee, 6 p., 2018.
dc.identifierhttp://hdl.handle.net/11449/186164
dc.identifierWOS:000484978900084
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5367216
dc.description.abstractIn recent years, AC power flow equations have been gaining relevance to represent the transmission planning problem. This trend will continue growing because of fast improvements of both computational resources and robust optimization techniques. Relevant problems associated with the voltage magnitude and reactive power may be difficult to represent in the transmission planning problem if the DC mathematical formulation is used instead of the AC formulation. However, the AC formulation remains difficult to solve even with the nowadays solution methodologies. Therefore, the development of new methods that allows to solve effectively the AC formulation are highly relevant. In this paper, novel heuristic methods to solve the transmission planning problem are proposed. The results show that the proposed heuristics for the AC transmission planning problem are both effective and efficient to solve the problem. Moreover, it has been determined the most suitable heuristic criteria for the proposed heuristics. The simulations are performed in the North Northeast Brazilian test system.
dc.languageeng
dc.publisherIeee
dc.relation2018 Australasian Universities Power Engineering Conference (aupec)
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectAC formulation
dc.subjectHeuristic algorithm
dc.subjectPower system
dc.subjectTransmission planning
dc.titleSpecialized Heuristic Algorithms for AC Transmission Expansion Planning Problem
dc.typeActas de congresos


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