Establishing Typical Range of Values and Comparison of DGA Methods in MATLAB for Transformer Population in Malaysia

Power transformer uses mineral insulating oil as the insulator and cooling agent. During operation, the insulating oil in the power transformer is prone to covalent bonds of the oil to breakdown and form different kinds of fault gases. The fault type that has occurred in a power transformer can be diagnosed using analysis techniques such as the Dissolved Gas Analysis (DGA). The DGA diagnoses the type of fault in the transformer based on the composition of the fault gases generated. In this paper, typical range of values are used to assess the severity of the fault type with 90th and 95th percentile value of 3389 transformer oil gas data in 490 different transformers. The outcome shows that the Duval Triangle method returns effective diagnostic results due to its close-loop nature.