IMPROVING THE ACCURACY OF FAULT DETECTION IN A DISTRIBUTION TRANSFORMER USING AN INTELLIGENT TELEMETRIC SCHEME

Subject Area: Power Engineering

A power transformer is the major and essential component of power systems which are usually intended to contain about 30-years working life span. The idea of power system protection is to notice faults or irregular operating situations that might cause an unhealthy operation of the transformer, by which means the transformer’s life span reduces. The problem of transformer like oil leakage, winding insulation failure, short circuits, and overvoltage is on increase with the conventional protection reviewed in this research owing to the long-term exposure of the transformer to these faults. This paper looks into a technique for improving the accuracy of fault detection in a distribution transformer using an intelligent telemetric scheme. To accomplish the research aim, characterization of various faults and causes on a 15MVA, 33/11KV distribution transformer was performed. A Transformer fault model was developed using MATLAB/SIMULINK for ANN training based on telemetric rules of fuzzy logic to detect faults in the distribution transformer. The simulated result illustrates that the system accurateness of fault detection is 92% efficient. A comparative analysis with other fault detection algorithms showed 1.6% improvement.