Dynamic small disturbance voltage instability prediction based on wide area measurement system

In this paper an online method to predict the small disturbance voltage instability based on wide area measurement system is proposed. The proposed method splits the voltage synchrophasors into high frequency and low frequency signals to extract proper features to accurately predict the voltage instability using SVM-based classifier. The proposed method is implemented and tested on slightly modified version of Nordic32 test system. To examine the efficiency of the proposed method, the stator current limiters as well as the on-load tap changing transformers are considered in test system. Simulation results have shown that the proposed method effectively predicts the voltage instability occurrence two seconds just after the disturbance in this case study.