Reinforcement Learning-Based Integrated Control to Improve the Efficiency of DC Microgrids
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, USA
Funder
U.S. National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
https://ieeexplore.ieee.org/ielam/5165411/10372481/10154007-aam.pdf
Reference36 articles.
1. DC Microgrids–Part I: A Review of Control Strategies and Stabilization Techniques
2. Adaptive Voltage Tuning Based Load Sharing in DC Microgrid
3. Improving current sharing and voltage regulation for DC microgrids: A decentralized demand response approach
4. DC Microgrids—Part II: A Review of Power Architectures, Applications, and Standardization Issues
5. Tertiary and Secondary Control Levels for Efficiency Optimization and System Damping in Droop Controlled DC–DC Converters
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4. An Improved Superimposed Frequency Method for Power Sharing and Voltage Regulation in DC Microgrids;2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia);2024-05-17
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