PMU measurements based short-term voltage stability assessment of power systems via deep transfer learning

Deep learning has emerged as an effective solution for addressing the challenges of short-term voltage stability assessment (STVSA) in power systems. However, existing deep learning-based STVSA approaches face limitations in adapting to topological changes, sample labeling, and handling small datase...

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Veröffentlicht in:	arXiv.org 2023-08
Hauptverfasser:	Yang, Li, Zhang, Shitu, Li, Yuanzheng, Cao, Jiting, Jia, Shuyue
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Systems and Control Data augmentation Datasets Deep learning Generative adversarial networks Labeling Machine learning Measuring instruments Model accuracy Phasors Stability analysis System effectiveness Topology Voltage stability
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