An extended Kalman filtering approach for detection and analysis of voltage dips in power systems

This paper proposes a new method based on the use of an extended Kalman filter for the detection and analysis of voltage dips in power systems. The paper describes the model used to enable the most accurate representation of the system and the selection of the parameters to ensure optimal filter performance. The results obtained using this method are presented both for simulated and for real voltage dips and are compared with the results obtained using the rms method proposed in the power quality standards in order to demonstrate the improved performance of this new method in the estimation of the time instant of the beginning and end of a voltage dip as well as in the estimation of the magnitude and phase angle of voltage supply during the event.

[1]  M. R. Iravani,et al.  Wavelet based on-line disturbance detection for power quality applications , 2000 .

[2]  M. R. Iravani,et al.  Experimental Performance Evaluation of a Wavelet-Based on-Line Voltage Detection Method for Power Quality Applications , 2001, IEEE Power Engineering Review.

[3]  S. Liu,et al.  An adaptive Kalman filter for dynamic estimation of harmonic signals , 1998, 8th International Conference on Harmonics and Quality of Power. Proceedings (Cat. No.98EX227).

[4]  Irene Yu-Hua Gu,et al.  Bridge the gap: signal processing for power quality applications , 2003 .

[5]  Irene Yu-Hua Gu,et al.  Voltage dip detection and power system transients , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[6]  A.G. Exposito,et al.  Self-tuning of Kalman filters for harmonic computation , 2006, IEEE Transactions on Power Delivery.

[7]  W. M. Grady,et al.  A wavelet-based procedure for automatically determining the beginning and end of transmission system voltage sags , 1999, IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233).

[8]  J. Arrillaga,et al.  An adaptive Kalman filter for dynamic harmonic state estimation and harmonic injection tracking , 2005, IEEE Transactions on Power Delivery.

[9]  Pradipta Kishore Dash,et al.  Hybrid S-transform and Kalman filtering approach for detection and measurement of short duration disturbances in power networks , 2004, IEEE Transactions on Instrumentation and Measurement.

[10]  Irene Yu-Hua Gu,et al.  Expert system for voltage dip classification and analysis , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[11]  A. Y. Chikhani,et al.  Power quality detection and classification using wavelet-multiresolution signal decomposition , 1999 .

[12]  Edward J. Powers,et al.  Electric power quality disturbance detection using wavelet transform analysis , 1994, Proceedings of IEEE-SP International Symposium on Time- Frequency and Time-Scale Analysis.

[13]  E. Perez,et al.  Voltage Event Detection and Characterization Methods: A Comparative Study , 2006, 2006 IEEE/PES Transmission & Distribution Conference and Exposition: Latin America.

[14]  E. Styvaktakis,et al.  Expert System for Classification and Analysis of Power System Events , 2002, IEEE Power Engineering Review.

[15]  S. Santoso,et al.  Power quality assessment via wavelet transform analysis , 1996 .

[16]  Julio Barros,et al.  Automatic Detection and Analysis of Voltage Events in Power Systems , 2006, IEEE Transactions on Instrumentation and Measurement.

[17]  Gordon Lightbody,et al.  Power system harmonic analysis using the Kalman filter , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[18]  J. S. Mayer,et al.  Wavelets and electromagnetic power system transients , 1996 .

[19]  E. Perez,et al.  Measurement and analysis of voltage events in a low-voltage distribution network , 2004, Proceedings of the 12th IEEE Mediterranean Electrotechnical Conference (IEEE Cat. No.04CH37521).