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Optimal Renewable Energy Curtailment Minimization Control Using a Combined Electromobility and Grid Model

dc.creatorČičić, Mladenes
dc.creatorVivas Venegas, Carloses
dc.creatorCanudas-de-Wit, Carloses
dc.creatorRodríguez Rubio, Franciscoes
dc.date.accessioned2024-02-15T11:29:08Z
dc.date.available2024-02-15T11:29:08Z
dc.date.issued2023
dc.identifier.citationČičić, M., Vivas Venegas, C., Canudas-de-Wit, C. y Rodríguez Rubio, F. (2023). Optimal Renewable Energy Curtailment Minimization Control Using a Combined Electromobility and Grid Model. En 22nd IFAC World Congress (10063-10068), Yokohama, Japan: Elsevier.
dc.identifier.isbn978-171387234-4es
dc.identifier.issn2405-8963es
dc.identifier.urihttps://hdl.handle.net/11441/155269
dc.description.abstractWe propose an integrated power and transportation system control framework, combining the power grid model with a macroscopic electromobility model including charging stations under V2G operation. In this framework, the electrical vehicles (EVs) act as energy storage, but also as an additional virtual power grid link, transporting energy from one point to another. This new holistic model is used as a basis for optimal control design seeking to minimize renewable energy curtailment, while accounting for the structural limitation of the grid and other SoC constraints necessary for the optimal operation of the EVs. The proposed control scheme is shown to eliminate approximately 50% of curtailment compared to uncoordinated EV charging.es
dc.formatapplication/pdfes
dc.format.extent6 p.es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartof22nd IFAC World Congress (2023), pp. 10063-10068.
dc.relation.isreferencedbyMladen Čičić, Carlos Vivas, Carlos Canudas-de-Wit, Francisco R. Rubio (2023). Optimal Renewable Energy Curtailment Minimization Control Using a Combined Electromobility and Grid Model. IFAC-PapersOnLine, v. 56, ( 2 ), 10063-10068 https://doi.org/10.1016/j.ifacol.2023.10.875es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectElectromobilityes
dc.subjectEnergy curtailmentes
dc.subjectOptimal controles
dc.subjectRenewable energy sourceses
dc.titleOptimal Renewable Energy Curtailment Minimization Control Using a Combined Electromobility and Grid Modeles
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ingeniería de Sistemas y Automáticaes
dc.relation.projectIDEU H2020 Nº 694209es
dc.relation.projectIDUS-1381503es
dc.relation.projectIDPID2020-115561RB-C32es
dc.relation.projectIDTED2021-131604B-I00es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2405896323012557es
dc.identifier.doi10.1016/j.ifacol.2023.10.875es
dc.contributor.groupUniversidad de Sevilla. TEP201: Ingeniería de Automatización, Control y Robóticaes
dc.publication.initialPage10063es
dc.publication.endPage10068es
dc.eventtitle22nd IFAC World Congresses
dc.eventinstitutionYokohama, Japanes
dc.contributor.funderEuropean Union’s Horizon 2020 research and innovation programme grant agreement Nº 694209es
dc.contributor.funderFEDER project US-1381503es
dc.contributor.funderSpanish National Research Agency PID2020-115561RB-C32es
dc.contributor.funderMCI, Spain TED2021-131604B-I00es

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Except where otherwise noted, this item's license is described as: Attribution-NonCommercial-NoDerivatives 4.0 Internacional