Power Transformer Control by Neuro Fuzzy Controller and Haar Wavelet Transform

Wavelet transforms are fast and efficient means of analyzing transient voltage and current signals. Compare with fast Fourier transform, wavelet transform gives better results in analyzing signals containing sharp spikes. Differential protection schemes are widely used by electric companies to protect power equipments. Normally, various techniques are used in power transformer protection. This paper proposed novel control technique for transformer protection. This protection approach is based on extracting the fundamental components present in differential currents. This paper aims to prove that the Wavelet Transform is a reliable and computationally efficient tool for fault currents. The aneural network based fuzzy logic controller is used to design protection relay for transformer. The simulation is done by MATLAB/SIMULINK software and results are shown clearly in this paper.