Large-scale deep reinforcement learning method for energy management of power supply units considering regulation mileage payment

Large-scale deep reinforcement learning method for energy management of power supply units considering regulation mileage payment

To improve automatic generation control (AGC) performance and reduce the wastage of regulation resources in interconnected grids including high-proportion renewable energy, a multi-area integrated AGC (MAI-AGC) framework is proposed to solve the coordination problem of secondary frequency regulation...

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Bibliographic Details
Main Authors: Ting Qian, Cheng Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Energy Research
Subjects:
automatic generation control
multi-agent deep deterministic policy gradient algorithm
optimal coordinated control
frequency regulation mileage payment
China Southern Grid
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2023.1333827/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2023.1333827/full

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