Logo do repositório
 
Publicação

Multi-objective optimization using NSGA-II for power distribution system reconfiguration

2015-01Artigo científico Acesso restrito
Ver registo simples
datacite.subject.fosEngenharia e Tecnologia
datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg12:Produção e Consumo Sustentáveis
dc.contributor.authorVitorino, Romeu M.
dc.contributor.authorJorge, Humberto M.
dc.contributor.authorNeves, Luís P.
dc.date.accessioned2026-02-12T16:41:51Z
dc.date.available2026-02-12T16:41:51Z
dc.date.issued2015-01
dc.descriptionFirst published: 24 October 2013.
dc.description.abstractThis study proposes a new strategy to solve the problem of radial power distribution system (RDS) recon figuration in a multi-objective and constrained environment. Due to the presence of various conflicting objectives and constraints, the proposed strategy uses the Elitist Non-Dominated Sorting Genetic Algorithm-II (NSGA-II), an effective evolutionarymulti-objective optimization technique. NSGA-II determines a set of pareto-optimal solutions for the power distribution system topology, considering power losses, reliability and investment in tie-switches. The methodology adopted to evaluate the RDS reliability uses a non-sequential Monte Carlo Simulation and is focused on the impacts of branch failures for interruption energy assessment. The effectiveness of the proposed methodology is demonstrated on a 69 bus RDS.eng
dc.identifier.citationVitorino, Romeu & Jorge, Humberto & Neves, Luís. (2013). Multi-objective optimization using NSGA-II for power distribution system reconfiguration. International Transactions on Electrical Energy Systems. 25. 10.1002/etep.1819.
dc.identifier.doi10.1002/etep.1819
dc.identifier.issn2050-7038
dc.identifier.urihttp://hdl.handle.net/10400.8/15625
dc.language.isoeng
dc.peerreviewedyes
dc.publisherWiley
dc.relation.hasversionhttps://onlinelibrary.wiley.com/doi/abs/10.1002/etep.1819
dc.relation.ispartofInternational Transactions on Electrical Energy Systems
dc.rights.uriN/A
dc.subjectDistribution system optimization
dc.subjectMulti-objective evolutionary algorithm
dc.subjectNetwork reconfiguration
dc.subjectPower losses
dc.subjectReliability
dc.titleMulti-objective optimization using NSGA-II for power distribution system reconfigurationeng
dc.title.alternativeInternational Transactions on Electrical Energy Systemseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage53
oaire.citation.issue1
oaire.citation.startPage38
oaire.citation.titleInternational Transactions on Electrical Energy Systems
oaire.citation.volume25
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamePires Neves
person.givenNameLuís
person.identifier.ciencia-id591E-30D4-2C97
person.identifier.orcid0000-0002-2600-5622
person.identifier.scopus-author-id34977315800
relation.isAuthorOfPublication5315d446-6d51-4d95-aeaa-72b6a44a4838
relation.isAuthorOfPublication.latestForDiscovery5315d446-6d51-4d95-aeaa-72b6a44a4838

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
Multi-objective optimization using NSGA-II for power distribution system reconfiguration.pdf
Tamanho:
784.49 KB
Formato:
Adobe Portable Document Format
Ver/Abrir
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.32 KB
Formato:
Item-specific license agreed upon to submission
Descrição:
Ver/Abrir

Coleções

ESTG - Artigos em revistas internacionais