A novel fast transient stability prediction method based on PMU

Abstract

A novel fast method based on phasor measurement units (PMU) measurements for transient stability prediction is presented in this paper. The method simulates various faults of a system off-line and records all rotor angle trajectories. Then a characteristic trajectory set is obtained for each generator using Hierarchical Cluster Algorithm (HCA) and a perturbed trajectory standard pattern database (PTSPD) is generated. By calculating the Euclidean distance between the trajectory uploaded by PMU and each characteristic trajectory in the PTSPD, the rotor angle trajectory can be predicted by the most similar characteristic trajectory. Thus the transient stability is predicted. Taking the New England test system for example, the effectiveness of the proposed method is proved.