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Optimization of the operation of a flywheel to support stability and reduce generation costs using a Multi-Contingency TSCOPF with nonlinear loads

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Eléctricaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Redes y Sistemas de Energía Eléctrica (REDES)es
dc.contributor.authorArredondo Rodríguez, Francisco
dc.contributor.authorLedesma Larrea, Pablo
dc.contributor.authorCastronuovo, Edgardo Daniel
dc.date.accessioned2022-09-07T10:13:58Z
dc.date.available2022-09-07T10:13:58Z
dc.date.issued2019-01-01
dc.description.abstractMulti-Contingency Transient Stability Constrained Optimal Power Flow (MC-TSCOPF) models optimize the economic dispatch of power systems while ensuring their stability after a series of reference incidents. This paper proposes a MC-TSCOPF model that represents the power balance at each node of the system and at each sample time. The proposed model includes non-linear loads, synchronous generators, a windfarm, and a Flywheel Energy Storage system (FESS). The model is written on GAMS and solved using a standard Interior Point algorithm. This study focuses on the Fuerteventura-Lanzarote insular grid in Spain, where stability problems and load shedding cause high additional costs due to the low inertia of the system. A FESS has been recently installed in the system to improve its stability, taking advantage of its high-power capacity and rapid response. The proposed TSCOPF model has been applied to optimize the operation of the FESS to support stability in the event of a contingency. The results of the study show that 1) a proper model of non-linear loads is essential in TSCOPF studies; 2) the proposed MC-TSCOPF provides a tool for minimizing the generation costs while ensuring transient and frequency stability; and 3) it is possible to further reduce the generation costs by using the proposed model to calculate an optimal dynamic response of the FESS.en
dc.description.statusPublicadoes
dc.format.extent8
dc.identifier.bibliographicCitationInternational Journal of Electrical Power & Energy Systems, (Jan. 2019), v. 104, pp.: 69-77.en
dc.identifier.doihttps://dx.doi.org/10.1016/j.ijepes.2018.06.042
dc.identifier.issn0142-0615
dc.identifier.publicationfirstpage69
dc.identifier.publicationlastpage77
dc.identifier.publicationtitleINTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMSen
dc.identifier.publicationvolume104
dc.identifier.urihttps://hdl.handle.net/10016/35651
dc.identifier.uxxiAR/0000022193
dc.language.isoengen
dc.publisherElsevieren
dc.rights© 2018 Elsevier Ltd. All rights reserved.en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaIngeniería Industriales
dc.subject.otherEnergy storageen
dc.subject.otherInsular griden
dc.subject.otherNonlinear programmingen
dc.subject.otherOptimal power flowen
dc.subject.otherPower system transient stabilityen
dc.titleOptimization of the operation of a flywheel to support stability and reduce generation costs using a Multi-Contingency TSCOPF with nonlinear loadsen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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