Real-time transient instability detection using frequency trend vector in wide area monitoring system

Fast transient instability detection tools are required in stressed power system to avoid widespread power outages. In this paper, an instability detection method is developed for real-time application in the wide area monitoring system. The proposed method uses frequency measurements that are readily available from phasor measurement units. In order to subside the impact of rapid changes in the measurements on the instability detection, a frequency trend vector is considered. A stability index is introduced to evaluate the power system stability. Unlike stability prediction and forecasting, this paper focuses on present stability status of the system. The methodology proposed is demonstrated by using a 39 bus system.

[1]  V. Venkatasubramanian,et al.  New Wide-Area Algorithms for Detection and Mitigation of Angle Instability using Synchrophasors , 2007, 2007 IEEE Power Engineering Society General Meeting.

[2]  K. R. Padiyar,et al.  ENERGY FUNCTION ANALYSIS FOR POWER SYSTEM STABILITY , 1990 .

[3]  Juri Jatskevich,et al.  A Multi-Decomposition Approach for Accelerated Time-Domain Simulation of Transient Stability Problems , 2015, IEEE Transactions on Power Systems.

[4]  Soheil Ranjbar,et al.  Transient Instability Prediction Using Decision Tree Technique , 2013, IEEE Transactions on Power Systems.

[5]  M.A. El-Sharkawi,et al.  Support vector machines for transient stability analysis of large-scale power systems , 2004, IEEE Transactions on Power Systems.

[6]  A. M. Miah Simple dynamic equivalent for fast online transient stability assessment , 1998 .

[7]  Jaime C. Cepeda,et al.  Real-time transient stability assessment based on centre-of-inertia estimation from phasor measurement unit records , 2014 .

[8]  Janath Geeganage,et al.  Application of energy-based power system features for dynamic security assessment , 2015, 2015 IEEE Power & Energy Society General Meeting.

[9]  P. Kundur,et al.  Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions , 2004, IEEE Transactions on Power Systems.

[10]  R. Fischl,et al.  Power system security assessment , 1984, IEEE Conference on Decision and Control.

[11]  Rui Zhang,et al.  Post-disturbance transient stability assessment of power systems by a self-adaptive intelligent system , 2015 .