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

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dc.contributor.author Conejo, Antonio J.
dc.contributor.author Nogales, Francisco J.
dc.contributor.author Prieto, Francisco J.
dc.contributor.editor Universidad Carlos III de Madrid. Departamento de Estadística
dc.date.accessioned 2010-01-11T12:03:47Z
dc.date.available 2010-01-11T12:03:47Z
dc.date.issued 1999-06
dc.identifier.uri http://hdl.handle.net/10016/6327
dc.description.abstract In 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.mimetype application/pdf
dc.language.iso eng
dc.relation.ispartofseries UC3M Working Papers. Statistics and Econometrics
dc.relation.ispartofseries 99-42-12
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Nonlinear programing
dc.subject.other decomposition methods
dc.subject.other decentralized coordination
dc.title A new decomposition method applied to optimization problems arising in power systems: Local and global behavior
dc.type workingPaper
dc.subject.eciencia Estadística
dc.rights.accessRights openAccess
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