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Mathematical Problems in Engineering
Volume 2015, Article ID 786396, 10 pages
Research Article

A Multifeature Fusion Approach for Power System Transient Stability Assessment Using PMU Data

1School of Electrical Engineering, Northeast Dianli University, Jilin 132012, China
2State Grid Liaoning Electric Power Supply Co. Ltd., Shenyang 110006, China

Received 25 September 2015; Revised 26 November 2015; Accepted 3 December 2015

Academic Editor: Ivanka Stamova

Copyright © 2015 Yang Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Taking full advantage of synchrophasors provided by GPS-based wide-area measurement system (WAMS), a novel VBpMKL-based transient stability assessment (TSA) method through multifeature fusion is proposed in this paper. First, a group of classification features reflecting the transient stability characteristics of power systems are extracted from synchrophasors, and according to the different stages of the disturbance process they are broken into three nonoverlapped subsets; then a VBpMKL-based TSA model is built using multifeature fusion through combining feature spaces corresponding to each feature subset; and finally application of the proposed model to the IEEE 39-bus system and a real-world power system is demonstrated. The novelty of the proposed approach is that it improves the classification accuracy and reliability of TSA using multifeature fusion with synchrophasors. The application results on the test systems verify the effectiveness of the proposal.