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...

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Vydané v:	Energy reports Ročník 8; s. 255 - 274
Hlavní autori:	Li, Jiawen, Geng, Jian, Yu, Tao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.11.2022 Elsevier
Predmet:	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
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