Multi-Agent Deep Reinforcement Learning for Sectional AGC Dispatch

Multi-Agent Deep Reinforcement Learning for Sectional AGC Dispatch

Aiming at the problem of coordinating system economy, security and control performance in secondary frequency regulation of the power grid, a sectional automatic generation control (AGC) dispatch framework is proposed. The dispatch of AGC is classified as three sections with the sectional dispatch m...

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Bibliographic Details
Main Authors: Jiawen Li, Tao Yu, Hanxin Zhu, Fusheng Li, Dan Lin, Zhuohuan Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Automatic generation control
hierarchical multi-agent deep deterministic policy gradient
sectional AGC dispatch
reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/9178795/

Internet

https://ieeexplore.ieee.org/document/9178795/

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