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dc.contributor.authorValarezo Rivera, Orlando Mauricioes-ES
dc.contributor.authorGómez San Román, Tomáses-ES
dc.contributor.authorChaves Ávila, José Pabloes-ES
dc.date.accessioned2026-07-15T04:39:43Z-
dc.date.available2026-07-15T04:39:43Z-
dc.date.issued2026-09-01es_ES
dc.identifier.issn2352-4677es_ES
dc.identifier.urihttps://doi.org/10.1016/j.segan.2026.102410es_ES
dc.identifier.urihttp://hdl.handle.net/11531/111942-
dc.descriptionArtículos en revistases_ES
dc.description.abstractThis paper introduces two governance models to coordinate Distribution Network Reconfiguration (DNR) with Local Flexibility Markets (LFMs) for congestion management in active distribution networks. The models are designed to reflect the main LFM operator arrangements emerging in European regulatory frameworks and practical implementations, where the local market operator role may be assigned either to the procuring Distribution System Operator (DSO) or to an independent third-party platform. The first model represents a DSO-operated LFM, enabling an integrated co-optimization of network topology and flexibility procurement. The second model represents a third-party-operated LFM, leading to a sequential coordination scheme in which the DSO first determines the network reconfiguration and then procures flexibility through the external market platform. Unlike existing studies that address DNR and market-based flexibility as separate processes, the proposed framework explicitly captures their operational interdependence by modeling how network reconfiguration dynamically affects the eligibility and participation of flexibility service providers (FSPs). A detailed case study evaluates both models under varying levels of load growth and flexibility availability. The results show that when flexibility resources are fully available, both DNR-LFM governance models eliminate all network constraints and converge to the same optimal topology with minimal operational cost. Under reduced flexibility availability, however, the co-optimization model maintains secure operation and zero Expected Energy Not Supplied, whereas the sequential model leaves residual unserved energy and incurs higher costs. These findings highlight the critical influence of the governance structure, information exchange, and FSPs availability and location on the efficiency of the DNR–LFM coordination, offering valuable insights for future regulatory frameworks promoting market-based flexibility procurement.es-ES
dc.description.abstractThis paper introduces two governance models to coordinate Distribution Network Reconfiguration (DNR) with Local Flexibility Markets (LFMs) for congestion management in active distribution networks. The models are designed to reflect the main LFM operator arrangements emerging in European regulatory frameworks and practical implementations, where the local market operator role may be assigned either to the procuring Distribution System Operator (DSO) or to an independent third-party platform. The first model represents a DSO-operated LFM, enabling an integrated co-optimization of network topology and flexibility procurement. The second model represents a third-party-operated LFM, leading to a sequential coordination scheme in which the DSO first determines the network reconfiguration and then procures flexibility through the external market platform. Unlike existing studies that address DNR and market-based flexibility as separate processes, the proposed framework explicitly captures their operational interdependence by modeling how network reconfiguration dynamically affects the eligibility and participation of flexibility service providers (FSPs). A detailed case study evaluates both models under varying levels of load growth and flexibility availability. The results show that when flexibility resources are fully available, both DNR-LFM governance models eliminate all network constraints and converge to the same optimal topology with minimal operational cost. Under reduced flexibility availability, however, the co-optimization model maintains secure operation and zero Expected Energy Not Supplied, whereas the sequential model leaves residual unserved energy and incurs higher costs. These findings highlight the critical influence of the governance structure, information exchange, and FSPs availability and location on the efficiency of the DNR–LFM coordination, offering valuable insights for future regulatory frameworks promoting market-based flexibility procurement.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.sourceRevista: Sustainable Energy, Grids and Networks, Periodo: 1, Volumen: online, Número: , Página inicial: 102410, Página final: 0es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleCoordinating network reconfiguration and local flexibility markets under alternative governance models for congestion managementes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.holderes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.keywordsDistribution network reconfiguration; Congestion management; Local flexibility market; Third-party flexibility; Topology optimizationes-ES
dc.keywordsDistribution network reconfiguration; Congestion management; Local flexibility market; Third-party flexibility; Topology optimizationen-GB
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