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Differential Evolution Optimization for a Residential Demand Response Application

2019-12Conference object Open access
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dc.contributor.authorFaia, Ricardo
dc.contributor.authorLezama, Fernando
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2021-09-27T10:49:37Z
dc.date.available2021-09-27T10:49:37Z
dc.date.issued2019-12
dc.description.abstractIn the smart grid era, when the power system is under stress, demand response (DR) is considered a viable and practical solution for smoothing the demand curve. DR is a procedure that is applied to provide changes in consumers power consumption. These changes can be obtained by optimization techniques producing solutions for the management of power profiles of consumers. In general, optimization techniques can be divided into two groups: the exact methods and the approximate methods. In this paper, an optimization DR problem is formulated and solved using an approximate method based on evolutionary computation. The differential evolution (DE) and one variant called hybrid-adaptive DE (HyDE), as well as the Particle swarm optimization (PSO) algorithms are used and their performance is compared. The results show that DE algorithms are superior to PSO for this application and their performance is close to that obtained with an exact method.pt_PT
dc.description.sponsorshipThe present work was done and funded in the scope of the following projects: SPEAR Project, CEECIND/02887/2017, UID/EEA/00760/2019 funded by FEDER Funds through COMPETE program and by National Funds through FCT and PhD grant SFRH/BD/133086/2017.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/ISAP48318.2019.9065955pt_PT
dc.identifier.isbn978-1-7281-3192-4
dc.identifier.urihttp://hdl.handle.net/10400.22/18557
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationCEECIND/02887/2017pt_PT
dc.relationApoio à decisão para participação em mercados de energia elétrica
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9065955pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/pt_PT
dc.subjectOptimization techniquespt_PT
dc.subjectDemand responsept_PT
dc.subjectDifferential Evolutionpt_PT
dc.titleDifferential Evolution Optimization for a Residential Demand Response Applicationpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleApoio à decisão para participação em mercados de energia elétrica
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F133086%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F00760%2F2019/PT
oaire.citation.conferencePlaceNew Delhi, India, India, 10-14 December 2019pt_PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFaia
person.familyNameLezama
person.familyNameFaria
person.familyNameVale
person.givenNameRicardo Francisco Marcos
person.givenNameFernando
person.givenNamePedro
person.givenNameZita
person.identifier78FtZwIAAAAJ
person.identifier632184
person.identifier.ciencia-id9B12-19F6-D6C7
person.identifier.ciencia-idE31F-56D6-1E0F
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-1053-7720
person.identifier.orcid0000-0001-8638-8373
person.identifier.orcid0000-0002-5982-8342
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-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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