Dynamic event monitoring using unsupervised feature learning towards smart grid big data

@article{Tang2017DynamicEM,
  title={Dynamic event monitoring using unsupervised feature learning towards smart grid big data},
  author={Yufei Tang and Jun Yang},
  journal={2017 International Joint Conference on Neural Networks (IJCNN)},
  year={2017},
  pages={1480-1487}
}
In this paper, a novel framework for dynamic event monitoring in smart grid with synchrophasor data is proposed. The fundamental principle is that the nonstationary signatures of any dynamic event in the system will be captured by the data set collected from the phase measurement units (PMUs). The framework is performed in three steps: 1) Energy function components construction by using PMU data. Each of the component in the energy function, such as the load, transmission line, and generation… CONTINUE READING