DGA Method Based on Fuzzy for Determination of Transformer Oil Quality
Thiessaputra O., Haddin M., Prasetyowati S.A.D.
Abstract
A common problem in power transformers is the emergence of operational failures, thermal and electrical failures. Thermal and electrical failures generally produce dangerous gases, commonly known as fault gases. Power transformers use oil as an insulator as a cooling system as well as to dissolve harmful gases that do not circulate freely. The solution for this problem is to keep the quality of the oil. This paper presents the DGA method based on fuzzy for determination of transformer oil. DGA becomes an indicator to determine a quality of transformer oil based on fuzzy. The DGA contains three analytical method: total dissolved combustible gas (TDCG), Roger’s ratio and Duval triangles used as benchmarks for analyzing test results. Fuzzy is used to determine the output composition from three oil conditions. The analysis result shows that the proposed method is capable of determining the quality of transformer oil.