A Review of Smart Grid Evolution and Reinforcement Learning: Applications, Challenges and Future Directions

A Review of Smart Grid Evolution and Reinforcement Learning: Applications, Challenges and Future Directions

In the face of the rapid development of smart grid technologies, it is increasingly difficult for traditional power system management methods to support the increasingly complex operation of modern power grids. This study systematically reviews new challenges and research trends in the field of smar...

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Bibliographic Details
Main Authors: Na Xu, Zhuo Tang, Chenyi Si, Jinshan Bian, Chaoxu Mu
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Energies
Subjects:
smart grid
reinforcement learning
optimal power dispatch
reactive power management
distributed control
Online Access:https://www.mdpi.com/1996-1073/18/7/1837
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