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Investment optimization in distribution network based on fuzzy outage parameters

dc.contributor.authorCanizes, Bruno
dc.contributor.authorSoares, João
dc.contributor.authorVale, Zita
dc.contributor.authorKhodr, H. M.
dc.date.accessioned2013-04-15T13:53:49Z
dc.date.available2013-04-15T13:53:49Z
dc.date.issued2012
dc.date.updated2013-04-11T14:18:19Z
dc.description.abstractThis paper presents a methodology that aims to increase the probability of delivering power to any load point of the electrical distribution system by identifying new investments in distribution components. The methodology is based on statistical failure and repair data of the distribution power system components and it uses fuzzy-probabilistic modelling for system component outage parameters. Fuzzy membership functions of system component outage parameters are obtained by statistical records. A mixed integer non-linear optimization technique is developed to identify adequate investments in distribution networks components that allow increasing the availability level for any customer in the distribution system at minimum cost for the system operator. To illustrate the application of the proposed methodology, the paper includes a case study that considers a real distribution network.por
dc.identifier.doi10.1049/cp.2012.0848pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/1303
dc.language.isoengpor
dc.publisherCIREDpor
dc.relation.publisherversionhttp://www.cired.net/publications/workshop2012/pdfs/CIREDWS2012_0283_final.pdfpor
dc.subjectInvestment optimizationpor
dc.subjectFuzzy outage parameterspor
dc.titleInvestment optimization in distribution network based on fuzzy outage parameterspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLisboapor
oaire.citation.titleCIRED 2012 Workshop: Integration of Renewables into the Distribution Gridpor
person.familyNameCanizes
person.familyNameSoares
person.familyNameVale
person.givenNameBruno
person.givenNameJoão
person.givenNameZita
person.identifier1043580
person.identifier632184
person.identifier.ciencia-idA411-F561-E922
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-9808-5537
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridI-3492-2017
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35408699300
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id7004115775
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
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relation.isAuthorOfPublication9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscovery7ea215ea-79d5-42be-a870-a0c8b23cf556

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