dc.contributorCtr Pesquisa & Desenvolvimento Telecomunicacoes
dc.contributorUniversidade Estadual de Campinas (UNICAMP)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorAV Garcia Tecnol Informacao
dc.contributorLight Serv Eletricidade
dc.date.accessioned2018-11-26T16:19:05Z
dc.date.available2018-11-26T16:19:05Z
dc.date.created2018-11-26T16:19:05Z
dc.date.issued2016-01-01
dc.identifierIeee Transactions On Smart Grid. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 7, n. 1, p. 145-155, 2016.
dc.identifier1949-3053
dc.identifierhttp://hdl.handle.net/11449/161089
dc.identifier10.1109/TSG.2015.2454436
dc.identifierWOS:000367299800016
dc.identifierWOS000367299800016.pdf
dc.description.abstractIn this paper, a two-stage procedure is proposed in order to solve the centralized self-healing scheme for electrical distribution systems. The considered self-healing actions are the reconfiguration of the distribution grid and, if needed, node and zone load-shedding. Thus, the proposed procedure determines the status of the switching devices in order to effectively isolate a faulty zone and minimize the number of de-energized nodes and zones, while ensuring that the operative and electrical constraints of the system are not violated. The proposed method is comprised of two stages. The first stage solves a mixed integer linear programming (MILP) problem in order to obtain the binary decision variables for the self-healing scheme (i.e., the switching device status and energized zones). In the second stage, a nonlinear programming (NLP) problem is solved in order to adjust the steady-state operating point of the topology found in the first stage (i.e., correction of the continuous electrical variables and load-shedding optimization). Commercial optimization solvers are used in the first stage to solve the MILP problem and in the second stage to solve the NLP problem. A 44-node test system and a real Brazilian distribution system with 964-nodes were used to test and verify the proposed methodology.
dc.languageeng
dc.publisherIeee-inst Electrical Electronics Engineers Inc
dc.relationIeee Transactions On Smart Grid
dc.relation2,854
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectCentralized self-healing scheme
dc.subjectload-shedding
dc.subjectmixed integer nonlinear programming
dc.subjectservice restoration
dc.titleCentralized Self-Healing Scheme for Electrical Distribution Systems
dc.typeArtículos de revistas


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