DDPG-Based Backstepping Controller for DC Solid State Transformer in DC Microgrid With Constant Power Loads

Author:

Meng Xiangqi1ORCID,Jia Yanbing1ORCID,Ren Chunguang1ORCID,Zhao Pei1,Han Xiaoqing1ORCID,Huang Tao2ORCID,Wang Peng3ORCID

Affiliation:

1. Shanxi Key Lab of Power System Operation and Control, Taiyuan University of Technology, Taiyuan, China

2. Department of Energy, Politecnico di Torino, Torino, Italy

3. School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore

Funder

State Key Program of United National Natural Science Foundation of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

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1. A Reinforcement Learning Controller Based on Double DQN for DC microgrids with Constant Power Loads;2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2024-08-06

2. Hybrid Control Scheme for More Efficient Charging of Two Electric Vehicle Batteries Simultaneously;2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2024-08-06

3. An Adaptive Virtual Resistance Method Based on a Superimposed Frequency for Power Distribution in DC Microgrids;IEEE Journal of Emerging and Selected Topics in Power Electronics;2024-08

4. Review and outlook on reinforcement learning: Its application in agricultural energy internet;IET Renewable Power Generation;2024-06-03

5. Deep Reinforcement Learning-Enabled Distributed Uniform Control for a DC Solid State Transformer in DC Microgrid;IEEE Transactions on Industrial Electronics;2024-06

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