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An energy management system design using fuzzy logic control: smoothing the grid power profile of a residential electro-thermal microgrid

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dc.contributor.authorArcos Avilés, Diegoes_ES
dc.contributor.authorPascual Miqueleiz, Julio María
dc.contributor.authorGuinjoan Gispert, Francesces_ES
dc.contributor.authorMarroyo Palomo, Luis
dc.contributor.authorGarcía Gutiérrez, Gabrieles_ES
dc.contributor.authorGordillo, Rodolfoes_ES
dc.contributor.authorLlanos, Jacquelinees_ES
dc.contributor.authorSanchis Gúrpide, Pablo
dc.contributor.authorMotoasca, Emiliaes_ES
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzareneu
dc.date.accessioned2024-01-09T07:34:00Z
dc.date.available2024-01-09T07:34:00Z
dc.date.issued2021
dc.date.updated2024-01-09T07:22:36Z
dc.description.abstractThis work deals with the design of a Fuzzy Logic Control (FLC) based Energy Management System (EMS) for smoothing the grid power prole of a grid-connected electro-thermal microgrid. The case study aims to design an Energy Management System (EMS) to reduce the impact on the grid power when renewable energy sources are incorporated to pre-existing grid-connected household appliances. The scenario considers a residential microgrid comprising photovoltaic and wind generators, at-plate collectors, electric and thermal loads and electrical and thermal energy storage systems and assumes that neither renewable generation nor the electrical and thermal load demands are controllable. The EMS is built through two low-complexity FLC blocks of only 25 rules each. The first one is in charge of smoothing the power prfile exchanged with the grid, whereas the second FLC block drives the power of the Electrical Water Heater (EWH). The EMS uses the forecast of the electrical and thermal power balance between generation and consumption to predict the microgrid behavior, for each 15-minute interval, over the next 12 hours. Simulations results, using real one-year measured data show that the proposed EMS design achieves 11.4% reduction of the maximum power absorbed from the grid and an outstanding reduction of the grid power profile ramp-rates when compared with other state-of-the-art studies.en
dc.description.sponsorshipThis work was supported in part by the projects 2019-PIC-003-CTE and 2020-EXT-007 from the Research Group of Propagation, Electronic Control, and Networking (PROCONET) of Universidad de las Fuerzas Armadas ESPE, in part by the Belgian Development Cooperation (DGD) and the VLIR-UOS under the project EC2020SIN322A101, in part by the Spanish Ministry of Industry and Competitiveness under Grant DPI2017-85404 and Grant PID2019-111443RB-100, and in part by the Spanish State Research Agency (AEI/10.13039/501100011033) under Grant PID2019-110816RB-C21 and Grant PID2019-111262RB-I00.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationArcos-Aviles, D., Pascual, J., Guinjoan, F., Marroyo, L., Garcia-Gutierrez, G., Gordillo-Orquera, R., Llanos-Proano, J., Sanchis, P., & Motoasca, T. E. (2021). An energy management system design using fuzzy logic control: Smoothing the grid power profile of a residential electro-thermal microgrid. IEEE Access, 9, 25172-25188. https://doi.org/10.1109/ACCESS.2021.3056454en
dc.identifier.doi10.1109/ACCESS.2021.3056454
dc.identifier.issn2169-3536
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/46972
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartofIEEE Access, 9, 25172-25188en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-85404-P/ESen
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111443RB-I00/ES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-110816RB-C21/ES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111262RB-I00/ES/en
dc.relation.publisherversionhttps://doi.org/10.1109/ACCESS.2021.3056454
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 License.en
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDistributed power generationen
dc.subjectEnergy managementen
dc.subjectPower forecastingen
dc.subjectFuzzy controlen
dc.subjectPower smoothingen
dc.subjectMicrogriden
dc.titleAn energy management system design using fuzzy logic control: smoothing the grid power profile of a residential electro-thermal microgriden
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dspace.entity.typePublication
relation.isAuthorOfPublicatione6f2ddb7-3782-4571-91e6-1fd56d40f23e
relation.isAuthorOfPublicationa68eb3e8-cf0e-4b2b-952b-d419a42a5f8c
relation.isAuthorOfPublicationeb28ad46-ad2e-4415-a048-6c3f2fe48916
relation.isAuthorOfPublication.latestForDiscoverye6f2ddb7-3782-4571-91e6-1fd56d40f23e

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