Development of two indices based on discrete wavelet transform for transformer differential protection

SUMMARY This paper proposes an algorithm for transformer differential protection. The paper presents the development of two indices based on discrete wavelet transform to discriminate between internal faults and inrush currents. Each of the proposed indices, that is, the retained energy and the number of zeros can be used individually for the suggested algorithm. The proposed technique consists of decomposition of differential current signals up to a specific level and compression by level thresholding. Various simulations and analysis have been performed to determine the best compression ratio to distinguish between transformer inrush and fault currents. The performance of these indices is demonstrated by simulation of different faults and switching conditions on a modeled power system. Obtained results show that the proposed scheme is robust and reliable. Copyright © 2011 John Wiley & Sons, Ltd.

[1]  Farhad Haghjoo,et al.  Wavelet transform based decomposition and reconstruction for on-line PD detection and measurement. Part I: narrow band components decomposition , 2009 .

[2]  Eugeniusz Rosolowski,et al.  A self-organizing fuzzy logic based protective relay-an application to power transformer protection , 1997 .

[3]  Raj Aggarwal,et al.  A wavelet transform based decision making logic method for discrimination between internal faults and inrush currents in power transformers , 2000 .

[4]  Drago Dolinar,et al.  Improved operation of power transformer protection using artificial neural network , 1997 .

[5]  Tim Littler,et al.  Wavelets for the analysis and compression of power system disturbances , 1999 .

[6]  A. Wiszniewski,et al.  A multi-criteria differential transformer relay based on fuzzy logic , 1995 .

[7]  J. A. Valencia,et al.  A FIRANN as a differential relay for three phase power transformer protection , 2001 .

[8]  M.A. Rahman,et al.  Modeling and protection of a three-phase power transformer using wavelet packet transform , 2005, IEEE Transactions on Power Delivery.

[9]  M. R. Zaman,et al.  Artificial neural network based protection of power transformers , 1998 .

[10]  P. Pillay,et al.  Application of wavelets to model short-term power system disturbances , 1996 .

[11]  M.M. Eissa A novel digital directional transformer protection technique based on wavelet packet , 2005, IEEE Transactions on Power Delivery.

[12]  B. Jeyasurya,et al.  A state-of-the-art review of transformer protection algorithms , 1988 .

[13]  Omar A.S. Youssef,et al.  Discrimination between faults and magnetising inrush currents in transformers based on wavelet transforms , 2002 .

[14]  Mudathir Funsho Akorede,et al.  Wavelet Transforms: Practical Applications in Power Systems , 2009 .

[15]  M. D. Cox,et al.  Discrete wavelet analysis of power system transients , 1996 .

[16]  Kuniaki Yabe,et al.  Power differential method for discrimination between fault and magnetizing inrush current in transformers , 1996 .

[17]  Majid Sanaye-Pasand,et al.  Development of a data compression index for discrimination between transformer internal faults and inrush currents , 2009, 2009 IEEE Power & Energy Society General Meeting.

[18]  Zoran Obradovic,et al.  Training an artificial neural network to discriminate between magnetizing inrush and internal faults , 1994 .

[19]  Toshiaki Sakaguchi,et al.  Transformer Protection Scheme Based on a Model Including Nonlinear Magnetizing Characteristics , 1978 .

[20]  Ganapati Panda,et al.  Power transformer protection using S-transform with complex window and pattern recognition approach , 2007 .

[21]  M. S. Sachdev,et al.  Design, implementation and testing of a microprocessor-based high-speed relay for detecting transformer winding faults , 1992 .

[22]  A. G. Phadke,et al.  A New Computer-Based Flux-Restrained Current-Differential Relay for Power Transformer Protection , 1983, IEEE Power Engineering Review.

[23]  P. Bastard,et al.  Neural network-based algorithm for power transformer differential relays , 1995 .

[24]  S. Santoso,et al.  Power quality disturbance data compression using wavelet transform methods , 1997 .

[25]  Ge Baoming,et al.  An equivalent instantaneous inductance-based technique for discrimination between inrush current and internal faults in power transformers , 2005 .

[26]  Stéphane Mallat,et al.  Introduction to the special issue on wavelet transforms and multiresolution signal analysis , 1992, IEEE Transactions on Information Theory.