Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/11531/56241
Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.contributor.authorÁlvarez Quispe, Erik Franciscoes-ES
dc.contributor.authorLópez Amezquita, Juan Camiloes-ES
dc.contributor.authorVergara Barrios, Pedro Pabloes-ES
dc.contributor.authorChavez Arias, Jefferson Javieres-ES
dc.contributor.authorRider Flores, Marcos Julioes-ES
dc.date.accessioned2021-06-07T12:11:28Z-
dc.date.available2021-06-07T12:11:28Z-
dc.identifier.urihttp://hdl.handle.net/11531/56241-
dc.description.abstractes-ES
dc.description.abstractThis paper proposes a two-stage stochastic market clearing (SMC) model based on a semidefinite programming (SDP) relaxation. The SMC model aims at determining the day-ahead schedule (DA) and the real-time (RT) balance settlement that minimize the total expected production cost. The network capacity constraints are considered in the proposed model through an AC power flow formulation, while the uncertainty in the renewable-based generation is taking into account using a set of stochastic scenarios. In order to solve the proposed non-linear programming model, a SDP relaxation is used. An illustrative example (3-bus test system) and the IEEE Reliability 24-bus test system are used to show the effectiveness and accuracy of the proposed model. Results shown that the proposed SDP relaxation introduce a negligible error, when compared with the solution after solving the original non-linear model.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.titleA stochastic market-clearing model using semidefinite relaxationes_ES
dc.typeinfo:eu-repo/semantics/workingPaperes_ES
dc.description.versioninfo:eu-repo/semantics/draftes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordses-ES
dc.keywordsStochastic market-clearing, AC optimal power flow, semidefinite relaxation.en-GB
Aparece en las colecciones: Documentos de Trabajo

Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
IIT-19-143A.pdf126,18 kBAdobe PDFVisualizar/Abrir     Request a copy


Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.