Review on transient stability prediction methods based on real time wide-area phasor measurements

With the wide application of PMU in power system, the real time prediction and emergency control of power system transient instability using the wide-area measurements has brought wide attention. There are two sub-problems: the postfault rotor-angle trajectory prediction and the real time transient instability detection. There are three categories for the former sub-problem. They are the network reduction based rotor-angle trajectory super-real time simulation, the curve-fitting based trajectory extrapolation and the angle speed prediction and integration methods. The curve-fitting based trajectory extrapolation includes the polynomial function, the auto regression model and the trigonometric function model. There are three types of criteria for the transient instability detection. They are the threshold-type criteria, the differentiation-type criteria and the integration-type criteria. The threshold-type criteria include the rotor angle threshold and the angle speed threshold and the post-fault voltage trajectory based criteria. The differentiation-type criteria include the trajectory concave and convex characteristics based criterion and the instability criterion based on the variation rate of energy function. The integration-type criterion mainly is the EEAC theory based instability criterion. A comprehensive comparison, analysis and reviews of the fundamental properties of these methods are presented in this paper.

[1]  Gerard Ledwich,et al.  Abnormal effects of line fault location on transient stability and its mechanism , 2007 .

[2]  Yang Qi-xun.  Multi-swing Stability Assessment Approach Based on Variation Rate of Transient Energy for Power Systems , 2007 .

[3]  Shi Bonian.  Power systems transient stability control based on GPS synchronous phasor measurements , 2002 .

[4]  Sun Suqin.  Stability Margin Assessment of Disturbed Trajectories Acquired by PMU , 2009 .

[5]  Zhao Yang Dong,et al.  A review of wide area measurement system and wide area control system , 2007 .

[6]  M. Haque,et al.  Determination of first swing stability limit of multimachine power systems through Taylor series expansions , 1989 .

[7]  Cao Yijia.  A Novel Fast Transient Stability Prediction Method Based on Perturbed Trajectories Fitting of Rotor Angle , 2008 .

[8]  T.S. Bi,et al.  The Perturbed Trajectories Prediction Method Based on Wide-Area Measurement System , 2006, 2005/2006 IEEE/PES Transmission and Distribution Conference and Exhibition.

[9]  Zhou Jingyang.  Perturbed Trajectory Prediction Based on PMU Measurement in Power Plants , 2007 .

[10]  Li Li-li.  Research on the Identification of Dominant Dynamic Parameters of Power System , 2006 .

[11]  Li Lei.  Transient Instability Detection Based on Trajectory Geometrical Characteristic , 2008 .

[12]  S. E. Stanton,et al.  Application of phasor measurements and partial energy analysis in stabilizing large disturbances , 1995 .

[13]  Cao Yijia.  Fast Learning Algorithm for Transient Stability Prediction Based on Wide-area Measurement System , 2007 .

[14]  Chu Yun-long.  Self-memory prediction based on synchronous measurement of power system multi-variable , 2008 .

[15]  A. A. Girgis,et al.  A new method for power system transient instability detection , 1997 .

[16]  Li Peng.  Fast Prediction Method for Multi-Machine System Transient Instability Based on Wide Area Trajectory Information , 2006 .

[17]  Liu Yu.  APPLICATION OF PMU AND FUZZY RADIAL BASIS FUNCTION NETWORK TO POWER SYSTEM TRANSIENT STABILITY PREDICTION , 2000 .

[18]  Tong Luyuan.  FEASIBILITY STUDY ON USING SYNCHROPHASOR TECHNOLOGY FOR POWER SYSTEM TRANSIENT STABILITY CONTROL , 2004 .

[19]  G. G. Karady,et al.  A new fast-learning algorithm for predicting power system stability , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[20]  Teng Lin.  STUDY OF REAL-TIME POWER SYSTEM TRANSIENT STABILITY EMERGENCY CONTROL , 2003 .

[21]  Ryouichi Tsukui,et al.  Fast generation shedding equipment based on the observation of swings of generators , 1988 .

[22]  James S. Thorp,et al.  Synchronized Phasor Measurement Applications in Power Systems , 2010, IEEE Transactions on Smart Grid.

[23]  Zhang Bao.  Real time transient stability prediction for multi machine power system based on phasor measurement units , 2000 .

[24]  Chih-Wen Liu,et al.  New methods for computing power system dynamic response for real-time transient stability prediction , 2000 .

[25]  K. L. Lo,et al.  Transient stability real-time prediction for multi-machine power systems by using observation , 1993, Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation.

[26]  Bi Tianshu.  Perturbed Trajectory Prediction Method Based on Wide Area Measurement Systems , 2006 .

[27]  Kenneth E. Martin,et al.  WACS-Wide-Area Stability and Voltage Control System: R&D and Online Demonstration , 2005, Proceedings of the IEEE.

[28]  James S. Thorp,et al.  Application of synchronised phasor measurements to real-time transient stability prediction , 1995 .

[29]  Yang Qi-xun.  Study on WAMS Based Multi-swing Stability Assessment for Power Systems , 2006 .

[30]  Lei Qingsheng,et al.  Real-time prediction and control for transient stability of multi-machine power system , 1998, POWERCON '98. 1998 International Conference on Power System Technology. Proceedings (Cat. No.98EX151).

[31]  Li Peng.  Power System Transient Stability Detection Theory Based on Characteristic Concave or Convex of Trajectory , 2006 .

[32]  Zhou Jingyang.  The Perturbed Trajectories Prediction Based on an Additional Virtual Node , 2007 .

[33]  Wu Jing-tao.  Power system stability control based on wide area measurement system , 2009 .

[34]  Zhang Xue-song.  A Fast Transient Stability Predicting Method Based on the WAMS Process Measurement Data , 2006 .

[35]  Peter Crossley,et al.  Rotor angle instability prediction using post-disturbance voltage trajectories , 2010, IEEE PES General Meeting.

[36]  Jin Lu,et al.  Predicting future behavior of transient events rapidly enough to evaluate remedial control options in real-time , 1995 .

[37]  Zhou Jingyang.  Perturbed Trajectories Prediction for Multi-machine Power Systems Based on WAMS Measurement Placement of Reduced Order , 2008 .

[38]  George G. Karady,et al.  On-line transient stability enhancement using multi-agent technique , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).

[39]  Chen Chen.  Transient Stability Prediction Using Time-Series Based on GPS Synchronized Measurement , 2001 .

[40]  Wang Jingjing.  Real-time prediction of transient instability based on wide-area information of generator state , 2009 .