Deep reinforcement learning for adaptive frequency control of island microgrid considering control performance and economy

Deep reinforcement learning for adaptive frequency control of island microgrid considering control performance and economy

To achieve frequency stability and economic efficiency in isolated microgrids, grid operators face a trade-off between multiple performance indicators. This paper introduces a data-driven adaptive load frequency control (DD-ALFC) approach, where the load frequency controller is modeled as an agent t...

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Bibliographic Details
Main Authors: Wanlin Du, Xiangmin Huang, Yuanzhe Zhu, Ling Wang, Wenyang Deng
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Energy Research
Subjects:
load frequency control
island microgrid
frequency stability
priority replay soft actor critic
data-driven
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2024.1361869/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2024.1361869/full

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