A Physics-Informed Action Network for Transient Stability Preventive Control

This letter proposes a physics-informed action network (PIAN) for power system transient stability preventive control (TSPC). The network firstly renders deep learning to reduce the TSPC complexity. Unlike common data-driven methods that superficially imitate control experience, TSPC is then analyti...

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Veröffentlicht in:	IEEE transactions on power systems 2023-03, Vol.38 (2), p.1-4
Hauptverfasser:	Liu, Youbo, Gao, Shuyu, Qiu, Gao, Liu, Tingjian, Ding, Lijie, Liu, Junyong
Format:	Artikel
Sprache:	eng
Schlagworte:	Control stability Costs Decisions Deep learning Mathematical models physics-informed action network Power system stability Stability criteria Thermal stability Training Transient analysis Transient stability transient stability preventive control
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