Enabling charging point operators for participation in congestion markets
dc.contributor.author
dc.date.accessioned
2025-04-01T07:51:24Z
dc.date.available
2025-04-01T07:51:25Z
dc.date.issued
2025-06
dc.identifier.issn
0142-0615
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dc.description.abstract
This paper explores the viability of electric vehicle charging point operators to act as flexibility service providers in local flexibility markets. The work focuses on the requirements for operating in local intra-day markets and specifically in solving grid congestion at the distribution level. The explored approach assumes an alternative to bilateral agreements constrained to the capacity of the charging point operator to forecast the electric vehicle demand and flexibility effectively. The current paper analyses the flexibility capacity and proposes a methodology to address the re-dispatch process within the GOPACS (The Netherlands) context.The flexibility estimation methodology comprises two forecasting steps: forecasting the aggregated flexibility capacity and forecasting electric vehicles flexibility. A detailed case study presents data from the real electric vehicle sessions in Amsterdam City. The experimental results validate the effectiveness of the proposed methodology, establishing a robust basis for further research
dc.description.sponsorship
This project was undertaken by the eXiT research group, recipient of the established research distinction (SITES group, Ref. [2021] SGR 01125) granted by the Generalitat de Catalunya, Spain.
The research received funding from the European Union Horizon Europe under RESCHOOL project grant agreement No 101096490, from MCIN/AEI/10.13039/501100011033, and the European Union NextGenerationEU/PRTR under OptiREC project grant agreement TED2021-131365B-C41 and the GERIO project grant agreement PID2022-142221OB-I00.
This research received funding from (Departament de Recerca i Universitats, del Departament d’Acció Climàtica, Alimentació i Agenda Rural i del Fons Climàtic de la Generalitat de Catalunya) under CLIMA project grant agreement No 2023 CLIMA 00090.
This research received funding from ACCIO of Generalitat de Catalunya under AI ENERGY project grant agreement nuclis T083-24.
The authors would like to thank the Hogeschool van Amsterdam for supporting the work and providing access to the EV charging data in the scope of an international collaboration funded by the mobility grant EST22/00891 of the Spanish Ministry linked to the PhD-grant of the author Marc Cañigueral
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
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Reproducció digital del document publicat a: https://doi.org/10.1016/j.ijepes.2025.110604
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International Journal of Electrical Power & Energy Systems, 2025, vol. 167, num. art.núm.110604
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Articles publicats (D-EEEiA)
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Reconeixement-NoComercial-SenseObraDerivada 4.0 Internacional
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dc.source
Massana i Raurich, Joaquim Burgas Nadal, Llorenç Cañigueral Maurici, Marc Sumper, Andreas Meléndez i Frigola, Joaquim Colomer Llinàs, Joan 2025 Enabling charging point operators for participation in congestion markets International Journal of Electrical Power & Energy Systems 167 art.núm.110604
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dc.title
Enabling charging point operators for participation in congestion markets
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.relation.projectID
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-142221OB-I00/ES/GESTION DE RECURSOS ENERGETICOS DISTRIBUIDOS: MODELADO Y OPTIMIZACION DE FLEXIBILIDAD PARA COMUNIDADES ENERGETICAS/
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
040351
dc.contributor.funder
dc.type.peerreviewed
peer-reviewed
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dc.relation.ProjectAcronym
dc.identifier.eissn
1879-3517