Publication: Optimization of the operation of a flywheel to support stability and reduce generation costs using a Multi-Contingency TSCOPF with nonlinear loads
dc.affiliation.dpto | UC3M. Departamento de Ingeniería Eléctrica | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: Redes y Sistemas de Energía Eléctrica (REDES) | es |
dc.contributor.author | Arredondo Rodríguez, Francisco | |
dc.contributor.author | Ledesma Larrea, Pablo | |
dc.contributor.author | Castronuovo, Edgardo Daniel | |
dc.date.accessioned | 2022-09-07T10:13:58Z | |
dc.date.available | 2022-09-07T10:13:58Z | |
dc.date.issued | 2019-01-01 | |
dc.description.abstract | Multi-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.status | Publicado | es |
dc.format.extent | 8 | |
dc.identifier.bibliographicCitation | International Journal of Electrical Power & Energy Systems, (Jan. 2019), v. 104, pp.: 69-77. | en |
dc.identifier.doi | https://dx.doi.org/10.1016/j.ijepes.2018.06.042 | |
dc.identifier.issn | 0142-0615 | |
dc.identifier.publicationfirstpage | 69 | |
dc.identifier.publicationlastpage | 77 | |
dc.identifier.publicationtitle | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | en |
dc.identifier.publicationvolume | 104 | |
dc.identifier.uri | https://hdl.handle.net/10016/35651 | |
dc.identifier.uxxi | AR/0000022193 | |
dc.language.iso | eng | en |
dc.publisher | Elsevier | en |
dc.rights | © 2018 Elsevier Ltd. All rights reserved. | en |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.rights.accessRights | open access | en |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject.eciencia | Ingeniería Industrial | es |
dc.subject.other | Energy storage | en |
dc.subject.other | Insular grid | en |
dc.subject.other | Nonlinear programming | en |
dc.subject.other | Optimal power flow | en |
dc.subject.other | Power system transient stability | en |
dc.title | Optimization of the operation of a flywheel to support stability and reduce generation costs using a Multi-Contingency TSCOPF with nonlinear loads | en |
dc.type | research article | * |
dc.type.hasVersion | AM | * |
dspace.entity.type | Publication |
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