This paper presents the analysis and development of a new digital differential protection scheme for three phase power transformers. The proposed scheme extracts the high frequency information hidden in the differential as well as the fault currents to identify internal faults. The commonly used signal processing tool, Wavelet Transform which has an impressive reputation in this field fails to represent objects with highly anisotropic elements such as lines or edges efficiently due to the limitations in directional and scaling elements. Proposed scheme applies curvelet transform to the differential current to extract the required information and identify the faults. Extensive simulation using MATLAB Simulink has been done to validate the method and the results are validated by comparing with other schemes. © 2013 IEEE.
cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@3d4e9464 ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@71f050ad Through org.apache.xalan.xsltc.dom.DOMAdapter@5840c84b; Conference Code:99948
G. Ravikrishnan, Kiran, P., and Dr. P. Kanakasabapathy, “Internal fault discrimination in power transformers using curvelet transform”, in 4th International Youth Conference on Energy IYCE 2013, Siofok, Hungary, 2013.