Minimax approaches to optimal transmission expansion planning considering non-probabilistic scenarios of market-based renewable generation capacity additions

dc.contributor.authorMartins Carvalho, Martha Rosaes-ES
dc.date.accessioned2025-03-04T18:23:10Z
dc.date.available2025-03-04T18:23:10Z
dc.date.issued2017-09-20
dc.descriptionCapítulos en libros
dc.description.abstractThis paper investigates the potential of minimax-cost and minimax-regret approaches for centralized & determinative transmission expansion planning under uncertainty regarding market-based generation expansion, particularly when the times needed to implement transmission facilities are longer than those required to build renewable generators. The approaches can deal with non-probabilistic uncertainties in variables representing key drivers for generation investors' decisions, and reduce exposure to high regrets if adverse scenarios materialize, at the expense of the costs needed to bestow the transmission grid with flexibility to cope with uncertainties in market-based generation expansion. These properties are illustrated with help of a case study.es-ES
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/11531/97802
dc.keywordsTransmission expansion , renewable generation , minimax-cost , minimax-regret , facility implementation timeses-ES
dc.language.isoen-GB
dc.publisherSin editorial (Quito, Ecuador)
dc.rightses_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.uries_ES
dc.sourceLibro: IEEE PES International Conference on Innovative Smart Grid Technologies Latin America - ISGT Latin America 2017, Página inicial: 1-6, Página final:
dc.subject.otherInstituto de Investigación Tecnológica (IIT)
dc.titleMinimax approaches to optimal transmission expansion planning considering non-probabilistic scenarios of market-based renewable generation capacity additions
dc.typeinfo:eu-repo/semantics/bookPart

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
IIT-17-248C.pdf
Size:
380.68 KB
Format:
Adobe Portable Document Format

Collections