Analysis of system oscillations using wide-area measurements

Analysis of power system oscillations is fundamental to understanding power system stability and performance. These oscillations clearly manifest themselves in power system frequency. Virginia Tech's Internet-based frequency monitoring network (FNET) collects and organizes frequency data from throughout the grid in real time. After this frequency data is filtered with robust statistical methods, oscillations are easily extracted from the data. This paper details the value of these wide-area measurements in oscillation analysis and the development of a graphical tool efficiently analyze these oscillations

[1]  A.G. Phadke,et al.  Power system frequency monitoring network (FNET) implementation , 2005, IEEE Transactions on Power Systems.

[2]  Christian Rehtanz,et al.  Detection of oscillations in power systems using Kalman filtering techniques , 2003, Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003..

[3]  Ling Chen,et al.  Internet based frequency monitoring network (FNET) , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[4]  James S. Thorp,et al.  Continuum modeling of electromechanical dynamics in large-scale power systems , 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.

[5]  Chung-Liang Chang,et al.  Oscillatory stability analysis using real-time measured data , 1993 .

[6]  John Ballance,et al.  Use of Synchronized Phasor measurement System for Enhancing AC-DC Power System Transmission Reliability and Capability , 2004 .

[7]  F. Mosteller,et al.  Understanding robust and exploratory data analysis , 1985 .

[8]  O. Saeki,et al.  Oscillation mode analysis in power systems based on data acquired by distributed phasor measurement units , 2003, Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03..

[9]  Manu Parashar,et al.  IMPACT OF ELECTROMECHANICAL WAVE PROPAGATION ON POWER SYSTEM PROTECTION AND CONTROL , 2002 .

[10]  Edward J. Powers,et al.  Time-frequency analysis of power system disturbance signals for power quality , 1999, 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364).

[11]  Arun G. Phadke,et al.  Electromechanical wave propagation in large electric power systems , 1998 .