Diagnóstico del estado de los transformadores de potencia de las Centrales Molino y Mazar basado en análisis de aceite

Abstract

This thesis aims to provide technical information to the CELEC EP – HIDROPAUTE Company. This information will let the company update the power transformers predictive maintenance plan of theMazar and Molino power stations. The emphasis of this work is put on the dielectric oil, which is a vital component for the correct operation of the transformer. First of all, a theoretical basis about the power transformer and the types of maintenance performed on this equipment was established; also,the physicochemical characteristics and the dissolved gases on the dielectric oil were studied. In addition, the types of faults that could appear in oil and their diagnostic methods were explained. After that, statistical analysis of physicochemical data and dissolved gaseswere performed in order to obtain an estimation of the performance curve and trend charts. The obtained information was entered into the TOA (Transformer Oil Analyst) computer application in order to get a diagnostic of the oil transformer condition. This task was performed based on IEEE and IEC international standards. Finally,a comparison between the laboratory results and those issued by the Perception online software of the transformer U04 was presented.Conclusions and recommendations were obtained based on the previous analyses.