Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/11531/66815
Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.contributor.authorRajabdorri, Mohammades-ES
dc.contributor.authorLobato Miguélez, Enriquees-ES
dc.contributor.authorSigrist, Lukases-ES
dc.date.accessioned2022-03-23T07:31:01Z-
dc.date.available2022-03-23T07:31:01Z-
dc.identifier.urihttp://hdl.handle.net/11531/66815-
dc.description.abstractes-ES
dc.description.abstractIn the current practice of short-term power scheduling, online power reserves are used to address generation mismatches and contingencies. Neither online inertia nor the speed of the committed units is considered in the scheduling process.With the increasing injection of uncertain renewable energy sources, this practice is starting to fall short especially in island power systems, where the primary frequency response is already scarce, and any contingency leads to potentially poor frequency response. This paper introduces a data driven linear constraint to improve the post-fault frequency quality in island power systems.A coherent initial data-set is obtained by simulating the system frequency response of single outages. Then logistic regression is employed as a predictive analytic procedure to differentiate the acceptable and unacceptable incidents. To compare the conventional methods with the proposed approach and also to handle the uncertain nature of renewable energy generation, an adaptive robust unit commitment formulation is utilized. Results for the island power system of La Palma show that depending on the chosen cut-point on the logistic regression estimation the proposed method can improve the frequency response quality of the system while reducing the operation costs.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.titleRobust frequency constrained UC using data driven logistic regression for island power systemses_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.keywordsFrequency Constrained Unit Commitment, Logistic Regression, System Frequency Response Model, Robust Optimization.en-GB
Aparece en las colecciones: Documentos de Trabajo

Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
IIT-22-023WP.pdf8,31 MBAdobe 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.