OPERAÇÃO EM EMERGÊNCIA DE TRANSFORMADORES DE POTÊNCIA CONSIDERANDO RISCOS E CONTRATOS DE INTERRUPÇÃO.

• Ano de defesa: 2017
• Autor(a) principal: SOUSA, Jéssica Cristina da Silva
• Orientador(a): SAAVEDRA MENDEZ, Osvaldo Ronald
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Maranhão
• Programa de Pós-Graduação: PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA DE ELETRICIDADE/CCET
• Departamento: DEPARTAMENTO DE ENGENHARIA DA ELETRICIDADE/CCET
• País: Brasil
• Palavras-chave em Português: Tomada de decisão; Perda de vida útil; Aversão ao risco; Emergência; Contratos de interrupção; teoria da informação
• Palavras-chave em Inglês: Decision-making; Loss-of-life; Risk aversion; Interruptible contracts; Information theory
• Área do conhecimento CNPq: Sistemas Elétricos de Potência
• Link de acesso: http://tedebc.ufma.br:8080/jspui/handle/tede/1353

As a result of a contingency, severe overloads may occur in a power transformer. One of the greatest concerns of energy utilities is to find a way to operate this equipment that ensures its useful life is preserved. However, there is a sharp reduction in the useful life in proportion to the level of overload and this increases the risk of failure. This paper sets out a framework for decision-making in emergency operations for power transformers, that rely on interruption contracts as decision variables and which take into account the risk of accepting any level of violation of the transformer´s operating limits. The risk of failure is calculated by measuring the useful life of the transformer and the presence of dissolved gases. The useful life is estimated by means of the Arrhenius model of thermal damage , while incipient faults can be detected by Dissolved Gas Analysis (DGA). The risk of transformer failure is estimated by examining the data cited above, on the basis of information theory concepts. It is formulated as a multi-period optimization problem with linear objectives and nonlinear constraints and restricted to the risk of accepting transformer overloads. The results are validated by means of an adapted version of the IEEE14 system, which is shown to be effective as a tool for emergency decision-making in the case studies included here.