Discriminating transformer large inrush currents from fault currents

Abstract One of the most widely used approaches for transformer protection is the low impedance differential relay, which can be adversely affected by inrush currents. Although the conventional inrush current detectors, i.e. the gap detection and second harmonic criteria, can block the differential relay in most of such cases, they are severely prone to maloperation in the case of large inrush currents. This paper presents a new strategy to enhance the security of the differential relay. The suggested approach exploits an intrinsic feature of large inrush currents in three-limb three-phase transformers with the widely used star-delta connection. Based on the feature, some novel criteria are proposed to improve the inrush current detection scheme. To evaluate the performance of the proposed approach for both inrush current and internal fault phenomena, a real 230/63-kV power transformer is modeled based on the time-based transient simulation. Extensive simulation studies and also evaluation using real data reveal that the proposed approach results in a more secure inrush current discrimination method.

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

[2]  S. A. Khaparde,et al.  Transformer Engineering: Design and Practice , 2004 .

[3]  Pei Liu,et al.  Improved operation of differential protection of power transformers for internal faults , 1992 .

[4]  Majid Sanaye-Pasand,et al.  A New Algorithm to Identify Magnetizing Inrush Conditions Based on Instantaneous Frequency of Differential Power Signal , 2010, IEEE Transactions on Power Delivery.

[5]  M. Heathcote The J&P Transformer Book: A Practical Technology of the Power Transformer , 1998 .

[6]  Arun G. Phadke,et al.  Power System Relaying , 1992 .

[7]  M. Davarpanah,et al.  Performance Enhancement of the Transformer Restricted Earth Fault Relay , 2013, IEEE Transactions on Power Delivery.

[8]  Waldemar Rebizant,et al.  Transformer differential protection with fuzzy logic based inrush stabilization , 2014 .

[9]  Z. Gajic,et al.  Power Transformer Characteristics and Their Effects on Protective Relays , 2007, 2007 60th Annual Conference for Protective Relay Engineers.

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

[11]  G. D. Rockefeller,et al.  Magnetizing Inrush Phenomena in Transformer Banks , 1958, Transactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems.

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

[13]  M. S. Sachdev,et al.  Online identification of magnetizing inrush and internal faults in three-phase transformers , 1992 .

[14]  M. Banejad,et al.  A correlation based method for discrimination between inrush and short circuit currents in differential protection of power transformer using Discrete Wavelet Transform: Theory, simulation and experimental validation , 2013 .

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

[16]  Chul-Won Park,et al.  Fuzzy logic-based relaying for large power transformer protection , 2003 .

[17]  Seyed Hossein Hosseinian,et al.  A wavelet-based method to discriminate internal faults from inrush currents using correlation coefficient , 2010 .