Condition assessment of power transformers based on multi‐attributes using fuzzy logic.

In this study, a new multi‐criterion based fuzzy logic model has been proposed to determine the overall health index of transformers. The method relies on the concentrations of individual dissolved gasses, significant diagnostic test results of transformer oil and paper insulation. Real field data of 200 working transformers of a state owned power utility have been tested to validate the accuracy and reliability of the proposed fuzzy logic condition assessment model of transformers. Results obtained from the present proposed model have been compared with the previously proposed condition monitoring models. Comparison of the results shows that the output of present proposed model is more reliable and accurate. Integration of multi‐criterion analysis in the fuzzy logic model has overcome the shortcomings of the previous fuzzy models requiring higher number of inputs and large set of rules. The proposed fuzzy model is flexible, accurate and easy to implement for determining the overall health index of the working transformers. It shall prove to be very useful to the utility managers and power utilities. [ABSTRACT FROM AUTHOR]