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A multi-objective GRASP procedure for reactive power compensation planning

2013-09-04Artigo científico Acesso restrito
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datacite.subject.fosCiências Naturais::Matemáticas
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.fosEngenharia e Tecnologia::Engenharia Civil
datacite.subject.fosEngenharia e Tecnologia::Engenharia Mecânica
datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorAntunes, Carlos Henggeler
dc.contributor.authorOliveira, Eunice
dc.contributor.authorLima, Paulo
dc.date.accessioned2026-06-30T16:12:20Z
dc.date.available2026-06-30T16:12:20Z
dc.date.issued2013-09-04
dc.description.abstractA multi-objective approach based on the GRASP (Greedy Randomized Adaptive Search Procedure) meta-heuristic is proposed to provide decision support in the problem of locating and sizing capacitors for reactive power compensation in electrical radial distribution networks. The installation of capacitors (local sources of reactive power) in the network is aimed at correcting the power factor to improve the quality of service, particularly the network voltage profile, and reduce energy losses and power peak. The mathematical model explicitly considers two conflicting objective functions: the minimization of the network active losses and the minimization of the capacitor installation cost. An algorithmic approach based on GRASP is presented for the characterization of the non-dominated solution set.eng
dc.description.sponsorshipThis work has been framed under the Energy for Sustainability Initiative of the University of Coimbra and partially supported by R&D Project EMSURE—Energy and Mobility for Sustainable Regions (CENTRO 07 0224 FEDER 002004) and Fundação para a Ciência e a Tecnologia (FCT) under project grants PEst-C/EEI/UI0308/2011 and MIT/SET/0018/2009. The authors are also indebted to an anonymous reviewer for his/her very constructive comments on earlier versions of this paper.
dc.identifier.citationAntunes, C.H., Oliveira, E. & Lima, P. A multi-objective GRASP procedure for reactive power compensation planning. Optim Eng 15, 199–215 (2014). https://doi.org/10.1007/s11081-013-9228-4.
dc.identifier.doi10.1007/s11081-013-9228-4
dc.identifier.eissn1573-2924
dc.identifier.issn1389-4420
dc.identifier.urihttp://hdl.handle.net/10400.8/16509
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer
dc.relationStrategic Project - UI 308 - 2011-2012
dc.relationEnergy Box - development and implementation of a demand-responsive energy management system
dc.relation.hasversionhttps://link.springer.com/article/10.1007/s11081-013-9228-4
dc.relation.ispartofOptimization and Engineering
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectGRASP
dc.subjectMulti-objective
dc.subjectReactive power
dc.subjectDistribution networks
dc.titleA multi-objective GRASP procedure for reactive power compensation planningeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberPEst-C/EEI/UI0308/2011
oaire.awardNumberMIT/SET/0018/2009
oaire.awardTitleStrategic Project - UI 308 - 2011-2012
oaire.awardTitleEnergy Box - development and implementation of a demand-responsive energy management system
oaire.awardURIhttp://hdl.handle.net/10400.8/16292
oaire.awardURIhttp://hdl.handle.net/10400.8/16291
oaire.citation.endPage215
oaire.citation.startPage199
oaire.citation.titleOptimization and Engineering
oaire.citation.volume15
oaire.fundingStreamConcurso para Financiamento de Projectos de IC&DT Estratégicos e de Interesse Público promovidos por Laboratórios Associados e Unidades de I&D - 2011 - COMPETE
oaire.fundingStreamConcurso de Projectos de Investigação Científica e Desenvolvimento Tecnológico no Âmbito do Acordo de Cooperação entre Portugal e o MIT - 2009
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameOliveira
person.givenNameEunice
person.identifier.ciencia-id271D-BE7F-8590
person.identifier.orcid0000-0003-0255-7999
person.identifier.scopus-author-id55427383200
relation.isAuthorOfPublication5adfb8fa-6061-49f7-8d5e-9b1c16324872
relation.isAuthorOfPublication.latestForDiscovery5adfb8fa-6061-49f7-8d5e-9b1c16324872
relation.isProjectOfPublicationac27d8b7-a6bd-4601-8f85-a26c2108fac0
relation.isProjectOfPublication047875a5-39ef-407a-ac0f-d0b642406b7b
relation.isProjectOfPublication.latestForDiscoveryac27d8b7-a6bd-4601-8f85-a26c2108fac0

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A multi-objective approach based on the GRASP (Greedy Randomized Adaptive Search Procedure) meta-heuristic is proposed to provide decision support in the problem of locating and sizing capacitors for reactive power compensation in electrical radial distribution networks. The installation of capacitors (local sources of reactive power) in the network is aimed at correcting the power factor to improve the quality of service, particularly the network voltage profile, and reduce energy losses and power peak. The mathematical model explicitly considers two conflicting objective functions: the minimization of the network active losses and the minimization of the capacitor installation cost. An algorithmic approach based on GRASP is presented for the characterization of the non-dominated solution set.
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