TÉCNICAS PREDITIVAS DE MANUTENÇÃO EM TRANSFORMADORES DE POTÊNCIA – UM ESTUDO DE CASO

André Pereira Marques, Cacilda De Jesus Ribeiro, Cláudio Henrique Bezerra Azevedo, José Augusto Lopes Dos Santos, Leonardo da Cunha Brito

Abstract


Predictive techniques for power transformers are based on setting up diagnoses and analyzing trends obtained from test results and observations of events that arise when this equipment is in operation. Thus, this article aims to address the existing techniques in the area of preventive maintenance and the aspects related to scheduled and unscheduled technical shutdowns of transformers, whether in urgent or emergency situations (electrical failures). These analyses resulted in a case study that monitors and detects partial discharges performed simultaneously in two three-phase power transformers of 33.3 MVA and voltages of 138 kV/13,8 kV, while in service. Accordingly, predictive techniques such as dissolved gas-in-oil analysis (chromatography), physico-chemical analysis, thermal imaging and detection of partial discharges by the acoustic emission method are emphasized as key tools for an effective maintenance strategy of electric power systems and equipment. Index Terms - maintenance, power transformers, predictive techniques.

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This work is licensed under a Creative Commons Attribution 3.0 License.

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ISSN 2319-0507

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