Instalação de medidores inteligentes: uma análise de confiabilidade na rede de distribuição de energia

• Ano de defesa: 2016
• Autor(a) principal: Hammarstron, Júlia Rambo
• Orientador(a): Abaide, Alzenira da Rosa
• Banca de defesa: Canha, Luciane Neves , Kaehler, Jose Wagner Maciel
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Santa Maria
• Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia Elétrica
• Departamento: Engenharia Elétrica
• País: BR
• Palavras-chave em Português: Confiabilidade; Medidores inteligentes; Método de Monte Carlo; Sistema de distribuição
• Palavras-chave em Inglês: Distribution system; Monte Carlo method; Reliability; Smart meters
• Área do conhecimento CNPq: CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
• Link de acesso: http://repositorio.ufsm.br/handle/1/8598

Power outages can cause great harm to consumers, especially for commerce and industry. Therefore, it is important that the utilities attend the emergency occurences as fast as possible. In this context, it is done an avaliation of the reduction of the time of the emergency occurences after the exchange of conventional meters for smart meters. These meters provide instant information of the conditions of the distribution network, including the outages. The utility is immediately informed about the outage of energy, getting through this the exact location of the defect. Therefore, the exchange of the meters provides a reduction of the fault location time, with consequent reduction of the time of attendance of occurrences, whose values are monitored by the brazilian Electric Agency. As a consequence of this reduction, there is a reduction of individual continuity índex Customer Average Interruption Duration Index (CAIDI), equivalent índex "System Average Interruption Duration Index" (SAIDI) and Expected Energy Not Supplied (EENS). This paper analyze the reduction of SAIDI and EENS in a distributor of Brazil, using scenarios of exchange of meters defined by Monte Carlo Method (MCM). The results demonstrate a reduction in SAIDI and EENS, but possibly the location where the search was conducted contributed to this reduction was not as significant as expected.