Principal components fault location based on WAMS/PMU measure system

In this paper, a novel fault location method based on Principal Component Analysis (PCA) is proposed, in which synchronized information data are utilized provided by the WAMS/PMU measurement system. PCA method is an efficient mathematic tool to reduce dimensions. Therefore, the state matrix, consisting of raw synchrophasor information versus multi-points and various times, is compressed effectively. By the remained key features, the corresponding principal component scores could be obtained. The simulation results have shown that, according to these scores, the fault component can be confirmed exactly. A great number of simulation trials have fully proved that the results of principal component analysis are accurate and reliable.