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A new decomposition method applied to optimization problems arising in power systems: Local and global behavior

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dc.affiliation.dptoUC3M. Departamento de Estadísticaes
dc.contributor.authorConejo, Antonio J.
dc.contributor.authorNogales, Francisco J.
dc.contributor.authorPrieto, Francisco J.
dc.contributor.editorUniversidad Carlos III de Madrid. Departamento de Estadística
dc.date.accessioned2010-01-11T12:03:47Z
dc.date.available2010-01-11T12:03:47Z
dc.date.issued1999-06
dc.description.abstractIn this report a new decomposition methodology for optimization problems is presented. The proposed procedure is general, simple and efficient. It avoids most disadvantages of other common decomposition techniques, such as Lagrangian Relaxation or Augmented Lagrangian Relaxation. The new methodology is applied to a problem coming from interconnected power systems. The application of the new method to this problem allows the computation of an optimal coordinated but decentralized solution. Local and global convergence properties of the proposed decomposition algorithm are described. Numerical results show that the new decentralized methodology has a lower computational cost than other decomposition techniques, and in large-scale cases even lower than a centralized approach.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10016/6327
dc.language.isoeng
dc.relation.ispartofseriesUC3M Working Papers. Statistics and Econometrics
dc.relation.ispartofseries99-42-12
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.ecienciaEstadística
dc.subject.otherNonlinear programing
dc.subject.otherdecomposition methods
dc.subject.otherdecentralized coordination
dc.titleA new decomposition method applied to optimization problems arising in power systems: Local and global behavior
dc.typeworking paper*
dspace.entity.typePublication
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