A Novel Technique for Power Transformer Protection based on Combined Wavelet Transformer and Neural Network

This paper present accurate discrimination between internal fault an internal fault and magnetizing inrush current in power Transformer by using combined wavelet transformer and neural network. Here Wavelet Transformer first applied to decompose the differential current signal of power transformer into series of detailed wavelet component. The spectral energy of the entire detailed component is calculate and given input for training the neural network to discriminate an internal fault from the magnetizing inrush current. Simulated result show the proposed technique can accurately discriminate between internal fault and magnetizing inrush current protection.