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dc.contributor.authorSarmiento-Vintimilla, Juan C.
dc.contributor.authorLarruscain Escobal, Dunixe Marene ORCID
dc.contributor.authorTorres Iglesias, Esther
dc.contributor.authorAbarrategi Ranero, Oihane ORCID
dc.date.accessioned2023-12-26T11:57:15Z
dc.date.available2023-12-26T11:57:15Z
dc.date.issued2024-01
dc.identifier.citationInternational Journal of Electrical Power & Energy Systems 155(Part B) : (2024) // Article ID 109611es_ES
dc.identifier.issn1879-3517
dc.identifier.issn0142-0615
dc.identifier.urihttp://hdl.handle.net/10810/63647
dc.description.abstractDistributed energy resources (DERs) are elements that actively participate in the supply of renewable energy and contribute to the decarbonization of the power system. However, they lack two factors necessary to take advantage of their operational flexibility: observability and controllability. In this sense, Virtual Power Plants (VPPs) are a feasible alternative to provide the necessary requirements for the optimal management of a set of distributed units. Therefore, knowledge of the technical and energy characteristics of each unit that makes up the VPP is a necessary condition for the effective integration of DERs into the power system. This paper proposes a methodology to graphically represent, quantify and exploit the aggregate operational flexibility of a set of units. The proposed methodology is based on five metrics related to active and reactive power, which serve as a tool to facilitate the VPP Operator's decision-making under uncertainty. Consequently, achieving the coordinated operation of several distributed units makes it possible to achieve common objectives. For instance, frequency and voltage regulation, compliance with a planned power curve, or dealing with the variability of renewable energies. The proposal is applied to a theoretical case study and through real operational tests between a hydroelectric unit and a photovoltaic plant. Finally, it is shown that the results obtained are a useful tool in real-time.es_ES
dc.description.sponsorshipThe authors acknowledge the support from GISEL research group IT1191-19, as well as from the University of the Basque Country UPV/EHU (research group funding 181/18).es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectaggregationes_ES
dc.subjectdistributed energy resourcees_ES
dc.subjectoperational flexibilityes_ES
dc.subjectvirtual power plantes_ES
dc.titleAssessment of the operational flexibility of virtual power plants to facilitate the integration of distributed energy resources and decision-making under uncertaintyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by- nc-nd/4.0/).es_ES
dc.rights.holderAtribución-NoComercial-SinDerivadas 3.0 España*
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0142061523006683es_ES
dc.identifier.doi10.1016/j.ijepes.2023.109611
dc.departamentoesIngeniería eléctricaes_ES
dc.departamentoeuIngeniaritza elektrikoaes_ES


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© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-
nc-nd/4.0/).
Except where otherwise noted, this item's license is described as © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by- nc-nd/4.0/).