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...

Full description

Bibliographic Details
Main Authors: Mu Yang, Xiaojie Wu, Maxwell Chiemeka Loveth
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/10/5879