Desenvolvimento de uma metodologia de interpretação de análise de gases dissolvidos em óleo para transformadores de potência usando lógica Fuzzy

• Autor(a) principal: Silva, Tiago Henrique Vivas e
• Data de Publicação: 2017
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFG
• Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tede/7608
• topic: Análise de gases dissolvidos; Fluxograma; Lógica Fuzzy; Planejamento; Sistemas elétricos; Transformadores de potência; Dissolved gas analysis; Electrical systems; Flowchart; Fuzzy logic; Planning; Power transformers; ENGENHARIAS::ENGENHARIA ELETRICA

This work have its main theme on the maintenance in Power Transformers in energy substations. Power Transformers have great importance in power transmission and distribution systems. In addition to being essential to perform the transformation between diferent levels of electrical voltage from generation to consumption, the cost of these equipments represents a considerable part of the investment in the system. A failure in a transformer can compromise the supply of electricity to an entire region of the city, which represents a lack of billing and fines to the power distribution company, as well as the repair costs of the equipment that failed. In this dissertation one of the main techniques used to diagnose power transformers using the Dissolved Gas Analysis (DGA) are discussed, as well as the use of Fuzzy Logic in conjunction with the diferente analysis techniques. The differential of this work is the development of a computational tool that allows the grafical visualization of diagnosis evolution for each equipment over time and provides a final result by a flowchart that considers all diagnosis of the traditional techniques approached with application of Fuzzy Logic. The result obtained is the development of a software that implements the proposed methodology and graphically presents the diagnostics of each equipment present in the company’s database. The software allows the analysis of the current operational state of the equipment and his evolution over time, subsidizing the decision of the maintenance professional regarding maintenance in the equipment.