Power System Fault Diagnosis Method Based on Deep Reinforcement Learning

Power System Fault Diagnosis Method Based on Deep Reinforcement Learning

Intelligent power grid fault diagnosis is of great significance for speeding up fault processing and improving fault diagnosis efficiency. However, most of the current fault diagnosis methods focus on rule diagnosis, relying on expert experience and logical rules to build a diagnosis model, and lack...

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Bibliographic Details
Main Authors: Zirui Wang, Ziqi Zhang, Xu Zhang, Mingxuan Du, Huiting Zhang, Bowen Liu
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
alarm information
deep reinforcement learning
fault diagnosis
deep Q-network
Online Access:https://www.mdpi.com/1996-1073/15/20/7639

Internet

https://www.mdpi.com/1996-1073/15/20/7639

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