Neural Lyapunov Control for Power System Transient Stability: A Deep Learning-Based Approach

Power system control and transient stability analysis play essential roles in secure system operation. Control of power systems typically involves highly nonlinear and complex dynamics. Most of the existing works address such problems with additional assumptions in system dynamics, leading to a requ...

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Veröffentlicht in:	IEEE transactions on power systems 2022-03, Vol.37 (2), p.955-966
Hauptverfasser:	Zhao, Tianqiao, Wang, Jianhui, Lu, Xiaonan, Du, Yuhua
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Asymptotic stability Control stability Control systems Control theory Deep learning Liapunov functions Lyapunov function Lyapunov methods Machine learning Modules neural Lyapunov control Nonlinear dynamics Power system dynamics Power system stability Stability analysis Stability criteria System dynamics Systems stability Transient analysis Transient stability
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