Adjustment of the fuzzy logic controller parameters of the energy management strategy of a grid-tied domestic electro-thermal microgrid using the Cuckoo search algorithm

dc.contributor.authorArcos Avilés, Diego
dc.contributor.authorGarcía Gutiérrez, Gabriel
dc.contributor.authorGuinjoan Gispert, Francesc
dc.contributor.authorPascual Miqueleiz, Julio María
dc.contributor.authorMarroyo Palomo, Luis
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzareneu
dc.date.accessioned2020-08-07T07:17:36Z
dc.date.available2020-12-09T00:00:12Z
dc.date.issued2019
dc.description.abstractDuring the last century, population growth, together with economic development, has considerably increased the energy demand and, although renewable energies are becoming an alternative, still total energy supply is mainly non-renewable, causing well-known negative effects such as pollution and global warming. On the other hand, technological advances have allowed the development of increasingly efficient distributed generation systems and the emergence of microgrids, whose studies have been focused on architecture, elements, and objectives of the associated energy management strategies. In this regard, energy management strategies based on a Fuzzy Logic controller have been developed for electro-thermal microgrids where parameter optimization has been carried out through heuristic procedures of trial and error with acceptable results but involving a high computational cost. To solve the aforementioned drawbacks, in the present work the use of Cuckoo Search optimization nature-inspired algorithm that allows the adjustment of Fuzzy Logic controller parameters and ensures a higher quality of energy management is proposed. Obtained results show encouraging outcomes for the use of these meta-heuristic optimization algorithms.en
dc.description.sponsorshipThis work has been partially supported by the Spanish Ministry of Industry and Competitiveness under the grants DPI2017-85404, DPI2015-67292-R, and FEDER ECO 1823-2015.en
dc.embargo.lift2020-12-09
dc.embargo.terms2020-12-09
dc.format.extent7 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.citationD. Arcos-Aviles et al., 'Adjustment of the Fuzzy Logic controller parameters of the energy management strategy of a grid-tied domestic electro-thermal microgrid using the Cuckoo search algorithm,' IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon, Portugal, 2019, pp. 279-285, doi: 10.1109/IECON.2019.8927547.en
dc.identifier.doi10.1109/IECON.2019.8927547
dc.identifier.isbn978-1-7281-4878-6
dc.identifier.issn2577-1647
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/37766
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartofProceedings: IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society: Lisbon, Portugal, 14-17 October, 2019, pp. 279-285. ISBN 978-1-7281-4878-6en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-85404-P/ES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//DPI2015-67292-R/ES/
dc.relation.publisherversionhttps://doi.org/https://doi.org/10.1109/IECON.2019.8927547
dc.rights© 2020 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.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectEnergy managementen
dc.subjectCuckoo searchen
dc.subjectFuzzy Logic controlen
dc.subjectParameter optimizationen
dc.titleAdjustment of the fuzzy logic controller parameters of the energy management strategy of a grid-tied domestic electro-thermal microgrid using the Cuckoo search algorithmen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicatione6f2ddb7-3782-4571-91e6-1fd56d40f23e
relation.isAuthorOfPublicationa68eb3e8-cf0e-4b2b-952b-d419a42a5f8c
relation.isAuthorOfPublication.latestForDiscoverye6f2ddb7-3782-4571-91e6-1fd56d40f23e

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