  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.
