Real-time transient stability assessment based on deep recurrent neural network

@article{Zheng2017RealtimeTS,
  title={Real-time transient stability assessment based on deep recurrent neural network},
  author={Le Zheng and Wei Hu and Kai-Yuan Hou and Xingwei Xu and Guanghui Shao},
  journal={2017 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia)},
  year={2017},
  pages={1-5}
}
Real-time transient stability assessment (TSA) is conducted in a data driven framework, by considering the temporal relations of the predictors using recurrent neural network (RNN) with long short-term memory (LSTM) units. Specifically, the TSA problem is converted to approximate the stability boundary based on the fact that the disturbed system is stable… CONTINUE READING