dc.creator | Sánchez Amores, Ana | es |
dc.creator | Martínez Piazuelo, Juan | es |
dc.creator | Maestre Torreblanca, José María | es |
dc.creator | Ocampo-Martínez, Carlos | es |
dc.creator | Camacho, Eduardo F. | es |
dc.creator | Quijano, Nicanor | es |
dc.date.accessioned | 2024-03-05T10:52:08Z | |
dc.date.available | 2024-03-05T10:52:08Z | |
dc.date.issued | 2023-07 | |
dc.identifier.citation | Sánchez Amores, A., Martínez Piazuelo, J., Maestre, J.M., Ocampo-Martínez, C., Camacho, E.F. y Quijano, N. (2023). Population-Dynamics-Assisted Coalitional Model Predictive Control for Parabolic-Trough Solar Plants. En 22nd IFAC World Congress. IFAC-PapersOnLine Volume 56, Issue 2 (7710-7715), Yokohama, Japan: Elsevier / International Federation of Automatic Control (IFAC). | |
dc.identifier.isbn | 9781713872344 | es |
dc.identifier.issn | 2405-8963 | es |
dc.identifier.uri | https://hdl.handle.net/11441/155830 | |
dc.description | © 2023 The Authors. This is an open access article under the CC BY-NC-ND license. | es |
dc.description.abstract | This paper proposes a coalitional model predictive control method for temperature regulation in parabolic-trough solar fields. The global optimization problem is divided into a set of local subproblems that will be solved in parallel by a set of coalitions. However, these local (smaller) problems remain coupled by a common global resource constraint. In this regard, we present a population-dynamics-assisted resource allocation approach to fully decouple the local optimization problems. By doing this, each coalition can address its corresponding optimization problem without relying on the solutions of the other coalitions. To illustrate the proposed methodology, we provide simulation results for a 100-loop parabolic-trough solar collector field. | es |
dc.format | application/pdf | es |
dc.format.extent | 6 p. | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier / International Federation of Automatic Control (IFAC) | es |
dc.relation.ispartof | 22nd IFAC World Congress. IFAC-PapersOnLine Volume 56, Issue 2 (2023), pp. 7710-7715. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Model predictive control | es |
dc.subject | Coalitional control | es |
dc.subject | Population dynamics | es |
dc.subject | Distributed solar collector field | es |
dc.title | Population-Dynamics-Assisted Coalitional Model Predictive Control for Parabolic-Trough Solar Plants | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.relation.projectID | PID2020-119476RB-100 | es |
dc.relation.projectID | MCIN/AEI/10.13039/501100011033 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S240589632301577X | es |
dc.identifier.doi | 10.1016/j.ifacol.2023.10.1174 | es |
dc.contributor.group | Universidad de Sevilla. TEP116: Automática y Robótica Industrial | es |
dc.publication.initialPage | 7710 | es |
dc.publication.endPage | 7715 | es |
dc.eventtitle | 22nd IFAC World Congress. IFAC-PapersOnLine Volume 56, Issue 2 | es |
dc.eventinstitution | Yokohama, Japan | es |
dc.contributor.funder | Unión Europea, Horizonte 2020 | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | es |
dc.contributor.funder | Agencia Estatal de Investigación. España | es |