Comparison of ANN Based Power Transformer Protection and WNN Based Power Transformer Protection

摘要

This study compares Artificial Neural Network (ANN) based power transformer protection and Wavelet combined Neural Network (WNN) based power transformer protection for classification of internal fault current and inrush currents in three phase power transformers. A typical 100 MVA, 110/220KV, /Y three phase power transformer connected between a 110KV source at the sending end and a 220KV transmission line connected to an infinite bus power system at the receiving end were simulated using PSCAD/EMTDC software. The generated data were used by the MATLAB software to test the performance of the proposed technique. The simulation results obtained show that the WNN based algorithm is faster, more reliable and accurate when compared to ANN based algorithm. It provides a high operating sensitivity for internal faults and remains stable for inrush currents of the power transformers.