Transient Stable Corrective Control Using Neural Lyapunov Learning

This paper proposes a method to compute corrective control actions for dynamic security in real-time and quantifies the economic value of corrective control. Lowered inertia requires fast control methods in real-time to correct system operation and maintain system security when equipment fails. Howe...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on power systems 2023-07, Vol.38 (4), p.3245-3253
Hauptverfasser:	Bellizio, Federica, Cremer, Jochen L., Strbac, Goran
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Buses (vehicles) Carbon Control equipment Control methods corrective control Electric vehicles Emergency equipment lyapunov functions Lyapunov methods Neural networks Operating costs optimal power flow Power flow Power system dynamics Power system stability Real time Real-time systems Safety Security Stability criteria Transient analysis Transient stability transient stability assessment Wind power
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!