Grid-area coordinated load frequency control strategy using large-scale multi-agent deep reinforcement learning

In order to enable full participation of high-performance units controlled by different dispatching centers in the performance-based frequency regulation market, a data-driven grid-area coordinated load frequency control (GAC-LFC) strategy using unified performance-based frequency regulation market...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Energy reports Jg. 8; S. 255 - 274
Hauptverfasser:	Li, Jiawen, Geng, Jian, Yu, Tao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.11.2022 Elsevier
Schlagworte:	Deep reinforcement learning Grid-area coordinated load frequency control strategy Interconnected power grid Load frequency control Multi-agent deep deterministic policy gradient algorithm Performance-based frequency regulation market mechanism Deep reinforcement learning Grid-area coordinated load frequency control strategy Load frequency control Interconnected power grid Multi-agent deep deterministic policy gradient algorithm Performance-based frequency regulation market mechanism
ISSN:	2352-4847, 2352-4847
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!