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Fuzzy Monte Carlo mathematical model for load curtailment minimization in transmission power systems

dc.contributor.authorCanizes, Bruno
dc.contributor.authorVale, Zita
dc.contributor.authorSoares, João
dc.contributor.authorKhodr, H. M.
dc.date.accessioned2013-04-19T10:41:59Z
dc.date.available2013-04-19T10:41:59Z
dc.date.issued2011
dc.date.updated2013-04-12T16:45:08Z
dc.description.abstractThis paper presents a methodology which is based on statistical failure and repair data of the transmission power system components and uses fuzzyprobabilistic modeling for system component outage parameters. Using statistical records allows developing the fuzzy membership functions of system component outage parameters. The proposed hybrid method of fuzzy set and Monte Carlo simulation based on the fuzzy-probabilistic models allows catching both randomness and fuzziness of component outage parameters. A network contingency analysis to identify any overloading or voltage violation in the network is performed once obtained the system states by Monte Carlo simulation. This is followed by a remedial action algorithm, based on optimal power flow, to reschedule generations and alleviate constraint violations and, at the same time, to avoid any load curtailment, if possible, or, otherwise, to minimize the total load curtailment, for the states identified by the contingency analysis. In order to illustrate the application of the proposed methodology to a practical case, the paper will include a case study for the Reliability Test System (RTS) 1996 IEEE 24 BUS.por
dc.identifier.isbn9781618392275
dc.identifier.urihttp://hdl.handle.net/10400.22/1422
dc.language.isoengpor
dc.publisherCurran Associates, Inc.por
dc.subjectFuzzy modelpor
dc.subjectLoad curtailmentpor
dc.subjectMonte Carlo simulationpor
dc.subjectReliabilitypor
dc.subjectTransmission power systemspor
dc.titleFuzzy Monte Carlo mathematical model for load curtailment minimization in transmission power systemspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceStockholm, 2011por
oaire.citation.title17th Power Systems Computation Conference (PSCC 2011),por
person.familyNameCanizes
person.familyNameVale
person.familyNameSoares
person.givenNameBruno
person.givenNameZita
person.givenNameJoão
person.identifier632184
person.identifier1043580
person.identifier.ciencia-idA411-F561-E922
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.orcid0000-0002-9808-5537
person.identifier.orcid0000-0002-4560-9544
person.identifier.orcid0000-0002-4172-4502
person.identifier.ridI-3492-2017
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35408699300
person.identifier.scopus-author-id7004115775
person.identifier.scopus-author-id35436109600
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
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relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b

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