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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Vydáno v:	Applied energy Ročník 306; s. 117900
Hlavní autoři:	Li, Jiawen, Yu, Tao, Zhang, Xiaoshun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 15.01.2022
Témata:	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
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