Fast Transient Stability Prediction Using Grid-informed Temporal and Topological Embedding Deep Neural Network
Published in Get the paper arXiv preprint arXiv:2201.09245, 2022
Recommended citation: P.Y. Sun, L. Huo, S.Y. Liang, X. Chen, "Fast Transient Stability Prediction Using Grid-informed Temporal and Topological Embedding Deep Neural Network," arXiv preprint arXiv:2201.09245, 2022.
In this paper we made use of different DL models, trained them using linear power grid model IEEE-39. Then we performed prediction on both linear and nonlinear power grid model, compared the perfromance of different DL models and chose the best one as the final model. In the end, we deployed the chosen model on a larger power grid model IEEE-118 and the results were also great, which proved the generality of our method.