A Deep Reinforcement Learning Design for Virtual Synchronous Generators Accommodating Modular Multilevel Converters
The deep reinforcement learning (DRL) technique has gained attention for its potential in designing “virtual network” controllers. This skill utilizes a novel solution that can avoid the specific parameters and system model required in classical dynamic programming algorithms. However, addressing th...
Main Authors: | Mu Yang, Xiaojie Wu, Maxwell Chiemeka Loveth |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-05-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/10/5879 |
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