Evaluación del estado de transformadores de potencia mediante la aplicación de lógica difusa al análisis de gases disueltos en aceite

Abstract

Nowadays it is important to have information about how power transformers are working so that the power system does not have any problem; thus, the number of non-programmed interruptions due to transformers failures may be reduced. The Dissolved Gas Analysis methods in oil (DGA) are very important in predicting or identifying the presence of incipient faults inside a power transformer immersed in oil. In this paper the application of Fuzzy Logic (FL) to the methods Rogers and IEC based on gas relations, as a tool for intelligent analysis is performed, it is shown that there are certain cases in which it becomes difficult to identify failures. The implementation of these fuzzy systems analysis is performed in MATLAB® to some oil samples with certain faults previously identified to determine the degree of precision of each fuzzy method. Finally, it is concluded that the use of fuzzy logic helps significantly enhance the ability of each method to correctly identify faults in transformers and even identifies the presence of multiple failures in special cases.