Event detection method for the PMUs synchrophasor data

The objective of the paper is to present an innovative method for event detection. The data is collected using a PMU network installed to provide wide-area monitoring and analysis of Texas' bulk power system. Grid events are detected using a combination of simple statstical algorithms, singular point detection with residual modeling, short time Fourier transform and linear regression. The performance of the proposed method is shown through the results of analysis on two types of actual events.

[1]  Robert Bregovic,et al.  Multirate Systems and Filter Banks , 2002 .

[2]  Hun Choi,et al.  A Filter Bank and a Self-Tuning Adaptive Filter for the Harmonic and Interharmonic Estimation in Power Signals , 2012, IEEE Transactions on Instrumentation and Measurement.

[3]  W. M. Grady,et al.  Phasor measurement unit placement Algorithm , 2009, 2009 IEEE Power & Energy Society General Meeting.

[4]  Monson H. Hayes,et al.  Statistical Digital Signal Processing and Modeling , 1996 .

[5]  Edward J. Powers,et al.  New robust voltage sag disturbance detector using an adaptive prediction error filter , 1999, 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364).

[6]  David Costello,et al.  Implementation and application of an independent Texas synchrophasor network , 2010, 2010 63rd Annual Conference for Protective Relay Engineers.

[7]  I. Gu,et al.  The use of time-varying AR models for the characterization of voltage disturbances , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[8]  Edward J. Powers,et al.  Characterization of distribution power quality events with Fourier and wavelet transforms , 2000 .

[9]  Math Bollen,et al.  Time-frequency and time-scale domain analysis of voltage disturbances , 2000 .