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Increase of the delivered energy probability in DES using a fuzzy probabilistic modeling

dc.contributor.authorCanizes, Bruno
dc.contributor.authorSoares, João
dc.contributor.authorVale, Zita
dc.contributor.authorTeixeira, Joaquim
dc.date.accessioned2013-04-16T10:17:11Z
dc.date.available2013-04-16T10:17:11Z
dc.date.issued2012
dc.date.updated2013-04-12T09:18:09Z
dc.description.abstractThe paper proposes a methodology to increase the probability of delivering power to any load point by identifying new investments in distribution energy systems. The proposed methodology is based on statistical failure and repair data of distribution components and it uses a fuzzy-probabilistic modeling for the components outage parameters. The fuzzy membership functions of the outage parameters of each component are based on statistical records. A mixed integer nonlinear programming optimization model is developed in order to identify the adequate investments in distribution energy system components which allow increasing the probability of delivering power to any customer in the distribution system at the minimum possible cost for the system operator. To illustrate the application of the proposed methodology, the paper includes a case study that considers a 180 bus distribution network.por
dc.identifierDOI 10.1109/ISGTEurope.2012.6465761
dc.identifier.doi10.1109/ISGTEurope.2012.6465761
dc.identifier.isbn978-1-4673-2596-7
dc.identifier.isbn978-1-4673-2595-0
dc.identifier.issn2165-4816
dc.identifier.urihttp://hdl.handle.net/10400.22/1341
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6465761por
dc.subjectDistribution energy systemspor
dc.subjectFuzzy modelpor
dc.subjectOptimizationpor
dc.subjectReliabilitypor
dc.titleIncrease of the delivered energy probability in DES using a fuzzy probabilistic modelingpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBerlimpor
oaire.citation.title3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference In Distribution System Modeling and Analysispor
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.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication7ea215ea-79d5-42be-a870-a0c8b23cf556
relation.isAuthorOfPublication9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b

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