dc.contributor.author | Mínguez Matorras, Rafael | |
dc.contributor.author | Martínez Torre, Raquel | |
dc.contributor.author | Mañana Canteli, Mario | |
dc.contributor.author | Arroyo Gutiérrez, Alberto | |
dc.contributor.author | Sainz Ortiz, Eugenio | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2025-09-11T08:05:27Z | |
dc.date.available | 2025-09-11T08:05:27Z | |
dc.date.issued | 2025-12 | |
dc.identifier.issn | 2352-4677 | |
dc.identifier.other | PID2023-151457OB-I00 | es_ES |
dc.identifier.uri | https://hdl.handle.net/10902/37115 | |
dc.description.abstract | The new outlook regarding energy and climate change encourages electricity companies to increase the renewable power capacity and improve the infrastructure to manage and transport renewable energy. The increase in renewable energy, especially wind generation, together with the growth of distributed generation, creates the need to provide the flexibility to operate a grid. The economic, environmental and administrative barriers to creating new infrastructure or modifying existing infrastructure encourage the development of alternatives such as Dynamic Line Rating (DLR) systems. This study solves one of the problems that appear in the practical application of DLR systems. The aim of this study is to create a new methodology that allows the analysis of the error caused by an existing configuration of a DLR system and to determine the most appropriate number and location of measurement points during the design phase. These approaches are based on the Simulated Wind Distributed Estimation (SWDE) methodology, which obtains a cooling model along the line using wind propagation software and Digital Elevation Models. | es_ES |
dc.description.sponsorship | This publication is part of the R&D&I project PID2023151457OB-I00, funded by MICIU/AEI/10.13039/501100011033/ and, as appropriate, by “ERDF A way of making Europe”, by “ERDF/EU”, by the “European Union” or by the “European Union NextGenerationEU/PRTR”. Furthermore, this publication was funded by University of Cantabria Industrial Doctorate 19.DI12.649 (BOC 206, 26th October 2016). The authors express their gratitude to Viesgo Distribution and EDP for permitting the use of company information that was relevant to this article. | es_ES |
dc.format.extent | 11 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | Attribution 4.0 International | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.source | Sustainable Energy Grids and Networks, 2025, 44, 101888 | es_ES |
dc.subject.other | Dynamic line rating | es_ES |
dc.subject.other | Digital elevation model | es_ES |
dc.subject.other | Weather station location | es_ES |
dc.subject.other | Wind propagation | es_ES |
dc.subject.other | Renewable integration | es_ES |
dc.title | A methodology for the analysis and selection of weather station location for dynamic line rating using the estimation of effective wind | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherVersion | https://doi.org/10.1016/j.segan.2025.101888 | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2023-151457OB-I00/ES/INCREMENTO DE LA CAPACIDAD DE LAS REDES ELECTRICAS MEDIANTE GESTION DINAMICA Y DIGITALIZACION EN EL CONTEXTO DE LA DESCARBONIZACION/ | es_ES |
dc.identifier.DOI | 10.1016/j.segan.2025.101888 | |
dc.type.version | publishedVersion | es_ES |