dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T17:28:09Z
dc.date.available2018-12-11T17:28:09Z
dc.date.created2018-12-11T17:28:09Z
dc.date.issued2016-01-01
dc.identifierIEEE Transactions on Power Systems, v. 31, n. 1, p. 825-826, 2016.
dc.identifier0885-8950
dc.identifierhttp://hdl.handle.net/11449/178014
dc.identifier10.1109/TPWRS.2015.2394317
dc.identifier2-s2.0-84966659013
dc.identifier2-s2.0-84966659013.pdf
dc.description.abstractThis letter presents an unambiguous distance-based mixed-integer quadratic programming (UDB-MIQP) model to solve economic dispatch problems with disjoint operating zones. By considering the distances among the prohibited zones, the unnecessary variables will be eliminated and, consequently, a significant decrease, both in terms of variables and constraints, is obtained. The results show that the UDB model compared to existing MIQP models in the literature can achieve the global optimal solution with a significantly reduced problem complexity, both in terms of variables and constraints. In addition, the results indicate the superiority of the method in computational time reduction.
dc.languageeng
dc.relationIEEE Transactions on Power Systems
dc.relation2,742
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectDistance based method
dc.subjecteconomic dispatch
dc.subjectmixed integer quadratic programming (MIQP)
dc.subjectprohibited operating zone
dc.titleAn Unambiguous Distance-Based MIQP Model to Solve Economic Dispatch Problems with Disjoint Operating Zones
dc.typeArtículos de revistas


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