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dc.creatorArcos Avilés, Diegoes_ES
dc.creatorGordillo, Rodolfoes_ES
dc.creatorGuinjoan Gispert, Francesces_ES
dc.creatorSanchis Gúrpide, Pabloes_ES
dc.creatorPascual Miqueleiz, Julio Maríaes_ES
dc.creatorMarietta, Martin P.es_ES
dc.creatorMarroyo Palomo, Luises_ES
dc.creatorIbarra, Alexanderes_ES
dc.date.accessioned2019-12-20T09:14:04Z
dc.date.available2019-12-31T00:00:10Z
dc.date.issued2018
dc.identifier.citationD. Arcos-Aviles et al., 'Fuzzy-based energy management of a residential electro-thermal microgrid based on power forecasting,' IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, Washington, DC, 2018, pp. 1824-1829. doi: 10.1109/IECON.2018.8591575en
dc.identifier.isbn978-1-5090-6684-1
dc.identifier.issn2577-1647 (Electronic)
dc.identifier.urihttps://hdl.handle.net/2454/35942
dc.description.abstractIn this paper, an energy management strategy based on microgrid power forecasting is applied to a residential grid-connected electro-thermal microgrid with the aim of smoothing the power profile exchanged with the grid. The microgrid architecture under study considers electrical and thermal renewable generation, energy storage system (ESS), and loads. The proposed strategy manages the energy stored in the ESS to cover part of the energy required by the thermal generation system for supplying domestic hot water to the residence. The simulation results using real data and the comparison with previous strategy have demonstrated the effectiveness of the proposed strategy.en
dc.description.sponsorshipThis work is part of the project 2016-PIC-044 and 2018-REV-003 from the Research Group of Propagation, Electronic Control, and Networking (PROCONET) of Universidad de las Fuerzas Armadas ESPE. This work has been partially supported by the Spanish Ministry of Science, Innovation and Universities: grants DPI2013-41224-P, DPI2015-67292, DPI2016-80641-R, and DPI2017-85404-P.en
dc.format.extent6 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartofIECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, Washington, DC, 2018, pp. 1824-1829en
dc.rights©2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.en
dc.subjectMicrogridsen
dc.subjectEnergy managementen
dc.subjectRenewable energy sourcesen
dc.subjectDistributed power generationen
dc.subjectFuzzy logic controlen
dc.titleFuzzy-based energy management of a residential electro-thermal microgrid based on power forecastingen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeContribución a congreso / Biltzarrerako ekarpenaes
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritzaeu
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.embargo.terms2019-12-31
dc.identifier.doi10.1109/IECON.2018.8591575
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//DPI2013-41224-P/ES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//DPI2015-67292-R/ES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/DPI2016-80641-Ren
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-85404-P/ES/en
dc.relation.publisherversionhttps://doi.org/10.1109/IECON.2018.8591575
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.type.versionVersión aceptada / Onetsi den bertsioaes


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