A Deep Reinforcement Learning Optimization Method Considering Network Node Failures
Nowadays, the microgrid system is characterized by a diversification of power factors and a complex network structure. Existing studies on microgrid fault diagnosis and troubleshooting mostly focus on the fault detection and operation optimization of a single power device. However, for increasingly...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-09-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/17/17/4471 |