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dc.contributor.advisorSilva, Márcio Rosa da
dc.contributor.authorReis, Eduardo Nunes dos
dc.date.accessioned2016-11-17T10:55:06Z
dc.date.accessioned2022-09-22T19:23:26Z
dc.date.available2016-11-17T10:55:06Z
dc.date.available2022-09-22T19:23:26Z
dc.date.issued2016-01-18
dc.identifier.urihttps://hdl.handle.net/20.500.12032/60315
dc.description.abstractContingency analysis of an electricity transmission system is of fundamental importance for both planning and system operation. Knowledge of the level of importance and the impact of outage in operating conditions of the network, were each one of the lines and on every load baseline is crucial for the analysis of network security. This work aims to evaluate the fragility of the electricity transmission system through centrality analysis of networks, identifying the most important nodes in the network. On this way, important information of the network can be achieved with lower computation cost than current available tools.Tests were performed on standard IEEE and in actual large scale networks, as the Brazilian National Interconnected Power System (NIPS). The results were compared with optimal results obtained from ANAREDE software, which is based on power flow calculation to check if the centrality-based method is reliable.The data analyzed show that the method can be used as an auxiliary tool with low computational cost for the evaluation of contingencies, providing support for further analysis of the nodes listed as critical.Spearman’s rank correlation coefficient was obtained for each centrality calculation and shows a close relation with results from ANAREDE software, with less computational cost and possibility to run high density networks at once.en
dc.description.sponsorshipNenhumapt_BR
dc.languagept_BRpt_BR
dc.publisherUniversidade do Vale do Rio dos Sinospt_BR
dc.rightsopenAccesspt_BR
dc.subjectMedida de centralidadept_BR
dc.subjectCentrality measureen
dc.titleAnálise de fragilidade de sistemas de transmissão de energia elétrica através do cálculo de centralidadespt_BR
dc.typeDissertaçãopt_BR


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