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dc.contributor.authorda Silva, AML
dc.contributor.authorSchmitt, W. F.
dc.contributor.authorCassula, A. M.
dc.contributor.authorSacramento, C. E.
dc.identifier.citationIEEE Transactions on Power Systems. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc., v. 20, n. 3, p. 1341-1348, 2005.
dc.description.abstractRegulatory authorities in many countries, in order to maintain an acceptable balance between appropriate customer service qualities and costs, are introducing a performance-based regulation. These regulations impose penalties-and, in some cases, rewards-that introduce a component of financial risk to an electric power utility due to the uncertainty associated with preserving a specific level of system reliability. In Brazil, for instance, one of the reliability indices receiving special attention by the utilities is the maximum continuous interruption duration (MCID) per customer.This parameter is responsible for the majority of penalties in many electric distribution utilities. This paper describes analytical and Monte Carlo simulation approaches to evaluate probability distributions of interruption duration indices. More emphasis will be given to the development of an analytical method to assess the probability distribution associated with the parameter MCID and the correspond ng penalties. Case studies on a simple distribution network and on a real Brazilian distribution system are presented and discussed.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIEEE Transactions on Power Systems
dc.sourceWeb of Science
dc.subjectdistribution reliabilitypt
dc.subjectMarkov chainspt
dc.subjectMonte Carlo simulationpt
dc.subjectreliability network analysispt
dc.titleAnalytical and Monte Carlo approaches to evaluate probability distributions of interruption durationen
dcterms.rightsHolderIEEE-Inst Electrical Electronics Engineers Inc
dc.contributor.institutionPetrobras Co
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.description.affiliationINESC, Power Syst Unit, Oporto, Portugal
dc.description.affiliationPetrobras Co, Petroleo Brasileiro SA, Rio de Janeiro, RJ, Brazil
dc.description.affiliationUNESP, Dept Elect Engn, Guaratingueta, SP, Brazil
dc.description.affiliationCEMIG, Expansion Planning Elect Syst Dept, Belo Horizonte, MG, Brazil
dc.description.affiliationUnespUNESP, Dept Elect Engn, Guaratingueta, SP, Brazil
dc.rights.accessRightsAcesso restrito
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Guaratinguetápt
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