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Evolutionary framework for multi-dimensional signaling method applied to energy dispatch problems in smart grids

2017Conference object Open access
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dc.contributor.authorLezama, Fernando
dc.contributor.authorMunoz de Cote, Enrique
dc.contributor.authorSucar, Luis Enrique
dc.contributor.authorSoares, João
dc.contributor.authorVale, Zita
dc.date.accessioned2021-03-09T11:32:24Z
dc.date.available2021-03-09T11:32:24Z
dc.date.issued2017
dc.description.abstractIn the smart grid (SG) era, the energy resource management (ERM) in power systems is facing an increase in complexity, mainly due to the high penetration of distributed resources, such as renewable energy and electric vehicles (EVs). Therefore, advanced control techniques and sophisticated planning tools are required to take advantage of the benefits that SG technologies can provide. In this paper, we introduce a new approach called multi-dimensional signaling evolutionary algorithm (MDS-EA) to solve the large-scale ERM problem in SGs. The proposed method uses the general framework from evolutionary algorithms (EAs), combined with a previously proposed rule-based mechanism called multi-dimensional signaling (MDS). In this way, the proposed MDS-EA evolves a population of solutions by modifying variables of interest identified during the evaluation process. Results show that the proposed method can reduce the complexity of metaheuristics implementation while achieving competitive solutions compared with EAs and deterministic approaches in acceptable times.pt_PT
dc.description.sponsorshipThe present work was done and funded in the scope of the projects: Project NetEffiCity (ANI—P2020 18015), and from FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2013; Sustainability Fund CONACYT-SENER by Consejo Nacional de Ciencia y Tecnolog´ıa (CONACYT) and the National Center of Innovation in Energy (CEMIE-Eolico, Project No. 206842).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/ISAP.2017.8071418pt_PT
dc.identifier.isbn978-1-5090-4000-1
dc.identifier.urihttp://hdl.handle.net/10400.22/17320
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationANI—P2020 18015pt_PT
dc.relationCEMIE-Eolico Project No.206842pt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8071418pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectLoad dispatchingpt_PT
dc.subjectSmart power gridspt_PT
dc.subjectSmart gridpt_PT
dc.subjectEnergy resourcespt_PT
dc.titleEvolutionary framework for multi-dimensional signaling method applied to energy dispatch problems in smart gridspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00760%2F2013/PT
oaire.citation.conferencePlaceSan Antonio, TX, USApt_PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title19th International Conference on Intelligent System Application to Power Systems (ISAP)pt_PT
oaire.fundingStream5876
person.familyNameLezama
person.familyNameSoares
person.familyNameVale
person.givenNameFernando
person.givenNameJoão
person.givenNameZita
person.identifier1043580
person.identifier632184
person.identifier.ciencia-idE31F-56D6-1E0F
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0001-8638-8373
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-6945-2017
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id36810077500
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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