Coordinated load frequency control of multi-area integrated energy system using multi-agent deep reinforcement learning

•A novel coordinated automatic generation control algorithm framework is proposed.•A deep reinforcement learning algorithm is introduced to obtains better performance.•Controllers can realize the coordinated control of multiple areas.•The proposed method can maximize control performance and minimize...

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Veröffentlicht in:	Applied energy Jg. 306; S. 117900
Hauptverfasser:	Li, Jiawen, Yu, Tao, Zhang, Xiaoshun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.01.2022
Schlagworte:	algorithms China curriculum Distributed intelligent coordinated automatic generation control (DIC-AGC) energy Evolutionary imitation curriculum multi-agent double delayed deep deterministic policy gradient algorithm (EIC-MADDPG) issues and policy markets Performance-based frequency regulation market China Performance-based frequency regulation market Evolutionary imitation curriculum multi-agent double delayed deep deterministic policy gradient algorithm (EIC-MADDPG) Distributed intelligent coordinated automatic generation control (DIC-AGC)
ISSN:	0306-2619, 1872-9118
Online-Zugang:	Volltext
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