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dc.contributor.authorSiniscalchi Minna, Sara
dc.contributor.authorBianchi, Fernando Daniel
dc.contributor.authorOcampo-Martínez, Carlos
dc.contributor.authorPrada Gil, Mikel de
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor.otherInstitut de Recerca en Energía de Catalunya
dc.date.accessioned2018-04-27T07:31:09Z
dc.date.available2018-04-27T07:31:09Z
dc.date.issued2017
dc.identifier.citationSiniscalchi, S., Bianchi, F., Ocampo-Martinez, C.A., de Prada, M. A wind farm operational strategy for primary frequency support optimization. A: Wind Europe Conference and Exhibition. "The proceedings of the 2017 Wind Europe Conference and Exhibition". 2017, p. 1.
dc.identifier.urihttp://hdl.handle.net/2117/116752
dc.description.abstractWith the aim of distributing the total power required at the wind farm control level for each wind turbine, we proposed a multi-objective model predictive control scheme able to (i) ensure the tracking of the power demanded by the electrical grid; (ii) provide primary frequency control by de-loading the wind turbines; and (iii) maximize the total power reserve when the available power is higher than the power demand.
dc.format.extent1 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.otherAutomation
dc.subject.othercontrol theory
dc.subject.otheroptimisation
dc.subject.otherwind farms
dc.subject.otherfrequency support
dc.subject.othermodel predictive control
dc.titleA wind farm operational strategy for primary frequency support optimization
dc.typeConference lecture
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.subject.inspecClassificació INSPEC::Control theory
dc.relation.publisherversionhttp://proceedings.windeurope.org/confex2017/posters/PO061.pdf
dc.rights.accessOpen Access
local.identifier.drac22022746
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/675318/EU/Innovative controls for renewable sources Integration into smart energy systems/INCITE
local.citation.authorSiniscalchi, S.; Bianchi, F.; Ocampo-Martinez, C.A.; de Prada, M.
local.citation.contributorWind Europe Conference and Exhibition
local.citation.publicationNameThe proceedings of the 2017 Wind Europe Conference and Exhibition
local.citation.startingPage1
local.citation.endingPage1


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