A multi-agent deep reinforcement learning-based “Octopus” cooperative load frequency control for an interconnected grid with various renewable units

•A data-driven “octopus” cooperative load frequency control (OC-LFC) method for an interconnected power system is proposed.•An TED-MADDPG algorithm is proposed which improves the robustness of the framework.•The controller and power distributor in each area are regarded as independent agents.•The pr...

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Vydané v:	Sustainable energy technologies and assessments Ročník 51; s. 101899
Hlavní autori:	Li, Jiawen, Yu, Tao, Cui, Haoyang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.06.2022
Predmet:	Distributed multi-agent deep deterministic policy gradient algorithm Edge-cloud cooperation Interconnected power system Performance-based frequency regulation market “Octopus” cooperative load frequency control method “Octopus” cooperative load frequency control method Performance-based frequency regulation market Distributed multi-agent deep deterministic policy gradient algorithm Interconnected power system Edge-cloud cooperation
ISSN:	2213-1388
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