Intelligent adjustment for power system operation mode based on deep reinforcement learning

Intelligent adjustment for power system operation mode based on deep reinforcement learning

Power flow adjustment is a sequential decision problem. The operator makes decisions to ensure that the power flow meets the system's operational constraints, thereby obtaining a typical operating mode power flow. However, this decision-making method relies heavily on human experience, which is...

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Bibliographic Details
Main Authors:	Wei Hu, Ning Mi, Shuang Wu, Huiling Zhang, Zhewen Hu, Lei Zhang
Format:	Article
Language:	English
Published:	Tsinghua University Press 2024-12-01
Series:	iEnergy
Subjects:	operation mode adjustment double q network learning region mapping deep reinforcement learning
Online Access:	https://www.sciopen.com/article/10.23919/IEN.2024.0028
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