An Innovative Loss-of-Excitation Protection Based on the Fuzzy Inference Mechanism

A new loss-of-excitation protection based on fuzzy set theory has been presented. It makes use of conventional concepts of loss-of-excitation protection in synchronous generators (i.e., the behavior of internal voltage and apparent impedance trajectory). Instead of crisp values, a fuzzy inference mechanism is applied. To show the effectiveness of the proposed technique, comparisons are made with traditional protection methods by considering different generators sizes. The protection scheme proposed displays a secure and effective high-speed loss-of-excitation detection during power swings. Furthermore, the performance of the proposed method was not affected by generator parameters.

[1]  P. Kundur,et al.  Power system stability and control , 1994 .

[2]  Paul M. Anderson.  Power System Protection , 1998 .

[3]  Hong-Tzer Yang,et al.  Adaptive fuzzy diagnosis system for dissolved gas analysis of power transformers , 1999 .

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

[5]  T. T. Lie,et al.  ANN based pattern classification of synchronous generator stability and loss of excitation , 1994 .

[6]  M.F. Dias,et al.  Case study into loss-of-excitation relays during simultaneous faults. II , 1992, 3D Africon Conference. Africon '92 Proceedings (Cat. No.92CH3215).

[7]  S.R. Tambay,et al.  A new adaptive loss of excitation relay augmented by rate of change of reactance , 2005, IEEE Power Engineering Society General Meeting, 2005.

[8]  C. R. Mason,et al.  A New Loss-of-Excitation Relay for Synchronous Generators , 1949, Transactions of the American Institute of Electrical Engineers.

[9]  Eugeniusz Rosolowski,et al.  Fuzzy logic controller for on-load transformer tap changer , 1998 .

[10]  J. Berdy,et al.  Loss of excitation protection for modern synchronous generators , 1975, IEEE Transactions on Power Apparatus and Systems.

[11]  E. A. Udren,et al.  Survey of experience with generator protection and prospects for improvements using digital computers , 1988 .

[12]  Pradipta Kishore Dash,et al.  Classification of power system disturbances using a fuzzy expert system and a Fourier linear combiner , 2000 .

[13]  Wen-Hui Chen,et al.  On-line fault diagnosis of distribution substations using hybrid cause-effect network and fuzzy rule-based method , 2000 .

[14]  M. Heyeck,et al.  Generator loss of field study for AEP's Rockport plant , 1990, IEEE Computer Applications in Power.

[15]  S. S. Venkata,et al.  A fuzzy expert system for the integrated fault diagnosis , 2000 .

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

[17]  Tarlochan S. Sidhu,et al.  Discrete-Fourier-transform-based technique for removal of decaying DC offset from phasor estimates , 2003 .

[18]  M. Dias,et al.  CASE STUDY INTO LOSS - OF - EXCITATION RELAYS D URING S IMULTANEOUS F AULTS PART 11 , 1992 .

[19]  Waldemar Rebizant,et al.  Fuzzy logic application to out-of-step protection of generators , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).