An Advanced Spatio-Temporal Graph Neural Network Framework for the Concurrent Prediction of Transient and Voltage Stability

An Advanced Spatio-Temporal Graph Neural Network Framework for the Concurrent Prediction of Transient and Voltage Stability

Power system stability prediction leveraging deep learning has gained significant attention due to the extensive deployment of phasor measurement units. However, most existing methods focus on predicting either transient or voltage stability independently. In real-world scenarios, these two types of...

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Bibliographic Details
Main Authors: Chaoping Deng, Liyu Dai, Wujie Chao, Junwei Huang, Jinke Wang, Lanxin Lin, Wenyu Qin, Shengquan Lai, Xin Chen
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
Subjects:
transient stability
voltage stability
graph neural network
temporal convolutional network
concurrent prediction
Online Access:https://www.mdpi.com/1996-1073/18/3/672
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