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Optimal energy management of cooperative energy communities considering flexible demand, storage and vehicle-to-grid under uncertainties

dc.contributor.authorTostado-Véliz, Marcos
dc.contributor.authorKamel, Salah
dc.contributor.authorHasanien, Hany
dc.contributor.authorTurky, Rania
dc.contributor.authorJurado-Melguizo, Francisco
dc.date.accessioned2024-05-23T11:12:15Z
dc.date.available2024-05-23T11:12:15Z
dc.date.issued2022-09
dc.description.abstractWith the advent of smart cities, residential consumers have evolved towards the concept of prosumers. This paradigm calls for new businesses like energy communities. Energy management of such frameworks is essential to maximize the collective welfare. This paper addresses this issue by developing an energy management framework that accounts for flexible demand, storage devices and electric vehicles. Its two-level structure allows to address the energy exchanging among prosumers in the 1st stage, while the 2nd stage focuses on optimally schedule the different collective assets. A novel stochastic-interval model is proposed to handle with uncertainties from demand, renewable generation, vehicles’ behaviour and energy pricing. A case study is performed on a six-prosumer community. Results serve to validate the new tool and analyse the importance of smart devices. In addition, the new proposal allows to adopt different operating strategies. Actually, the total operating cost may increase by 90% if a pessimistic point of view is adopted while the importance of the vehicle-to-grid capability is marginal otherwise. Furthermore, the energy purchased could be reduced by 7% when adopting a community arrangement, supposing an improvement in the economy and environmental indicators of the network. Other relevant aspects are identified and discussed in depth.es_ES
dc.identifier.citationMarcos Tostado-Véliz, Salah Kamel, Hany M. Hasanien, Rania A. Turky, Francisco Jurado, Optimal energy management of cooperative energy communities considering flexible demand, storage and vehicle-to-grid under uncertainties, Sustainable Cities and Society, Volume 84, 2022, 104019, ISSN 2210-6707, https://doi.org/10.1016/j.scs.2022.104019. (https://www.sciencedirect.com/science/article/pii/S2210670722003390)es_ES
dc.identifier.issn2210-6715es_ES
dc.identifier.other10.1016/j.scs.2022.104019es_ES
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S2210670722003390es_ES
dc.identifier.urihttps://hdl.handle.net/10953/2825
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.ispartofSustainable Cities and Society [2022]; [84]; [104019]es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectElectric vehiclees_ES
dc.subjectEbergy communityes_ES
dc.subjectEnergy storagees_ES
dc.subjectRenewable energyes_ES
dc.subjectSmart cityes_ES
dc.titleOptimal energy management of cooperative energy communities considering flexible demand, storage and vehicle-to-grid under uncertaintieses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones_ES

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