Coordinated automatic generation control of interconnected power system with imitation guided exploration multi-agent deep reinforcement learning

•An intelligent automatic power generation control (IAGC) framework is proposed.•The proposed framework can improve the dynamic performance and reduce regulation mileage payment.•A new robust IGE-MATD3 algorithm is proposed as the tuner’s algorithm.•The controller of each area only needs to monitor...

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Vydáno v:	International journal of electrical power & energy systems Ročník 136; s. 107471
Hlavní autoři:	Li, Jiawen, Yu, Tao, Zhang, Xiaoshun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.03.2022
Témata:	Frequency regulation mileage Imitation guided exploration multi-agent twin delayed deep deterministic policy gradient algorithm Intelligent automatic power generation control Multi-area coordinated control Performance-based frequency regulation market Imitation guided exploration multi-agent twin delayed deep deterministic policy gradient algorithm Multi-area coordinated control Frequency regulation mileage Performance-based frequency regulation market Intelligent automatic power generation control
ISSN:	0142-0615, 1879-3517
On-line přístup:	Získat plný text
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