Deep Learning for Short-Term Voltage Stability Assessment of Power Systems

Deep Learning for Short-Term Voltage Stability Assessment of Power Systems

To fully learn the latent temporal dependencies from post-disturbance system dynamic trajectories, deep learning is utilized for short-term voltage stability (STVS) assessment of power systems in this paper. First of all, a semi-supervised cluster algorithm is performed to obtain class labels of STV...

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Bibliographic Details
Main Authors: Meng Zhang, Jiazheng Li, Yang Li, Runnan Xu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Short-term voltage stability
deep learning
time series classification
long short-term memory network
phasor measurement units
semi-supervised learning
Online Access:https://ieeexplore.ieee.org/document/9349429/

Internet

https://ieeexplore.ieee.org/document/9349429/

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