Deep Reinforcement Learning-Enabled Distributed Uniform Control for a DC Solid State Transformer in DC Microgrid-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning-Enabled Distributed Uniform Control for a DC Solid State Transformer in DC Microgrid

Published:2024-06 Issue:6 Volume:71 Page:5818-5829
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Zeng Yu¹^ORCID,Pou Josep¹^ORCID,Sun Changjiang²^ORCID,Li Xinze¹^ORCID,Liang Gaowen³^ORCID,Xia Yang¹^ORCID,Mukherjee Suvajit⁴,Gupta Amit Kumar⁴^ORCID

Affiliation:

1. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

2. Rolls-Royce@NTU Corporate Lab, Nanyang Technological University, Singapore

3. Energy Research Institute, Nanyang Technological University, Singapore

4. Rolls-Royce Singapore Private Limited, Singapore

Funder

National Research Foundation Singapore

Rolls-Royce Singapore Pte. Ltd.

Nanyang Technological University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/10416960/10194899.pdf?arnumber=10194899

Reference35 articles.

1. Hierarchical Control of Droop-Controlled AC and DC Microgrids—A General Approach Toward Standardization

2. Autonomous Input Voltage Sharing Control and Triple Phase Shift Modulation Method for ISOP-DAB Converter in DC Microgrid: A Multiagent Deep Reinforcement Learning-Based Method

3. A Modular Multilevel DC-Link Front-to-Front DC Solid-State Transformer Based on High-Frequency Dual Active Phase Shift for HVDC Grid Integration

4. Grid-Connected Energy Storage Systems: State-of-the-Art and Emerging Technologies

5. Active Disturbance Rejection Control Using Artificial Neural Network for Dual-Active-Bridge-Based Energy Storage System

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1. A Physics-Informed Pattern Recognition Method for Open-Circuit Fault Detection of Inverters Under Unexpected Conditions;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16

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