Deep Reinforcement Learning Based Control Strategy for Voltage Regulation of DC-DC Buck Converter Feeding CPLs in DC Microgrid
Author:
Affiliation:
1. National Institute of Technology Andhra Pradesh, Tadepalligudem, Andhra Pradesh, India
2. School of Electrical and Computer Engineering, Dire Dawa University, Dire Dawa, Ethiopia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10414063.pdf?arnumber=10414063
Reference37 articles.
1. Control Techniques in AC, DC, and Hybrid AC–DC Microgrid: A Review
2. A Novel Assorted Nonlinear Stabilizer for DC–DC Multilevel Boost Converter With Constant Power Load in DC Microgrid
3. On the Concept of Negative Impedance Instability in the More Electric Aircraft Power Systems with Constant Power Loads
4. A Novel Stabilization Method of LC Input Filter With Constant Power Loads Without Load Performance Compromise in DC Microgrids
5. A Tutorial and Review Discussion of Modulation, Control and Tuning of High-Performance DC-DC Converters Based on Small-Signal and Large-Signal Approaches
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1. Advancements in data-driven voltage control in active distribution networks: A Comprehensive review;Results in Engineering;2024-09
2. Multi-Output Physical-Informed Neural Networks Based Impedance Identification of Buck Converter in More Electric Aircraft Power Systems;2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia);2024-05-17
3. Empowering Dynamic Active and Reactive Power Control: A Deep Reinforcement Learning Controller for Three-Phase Grid-Connected Electric Vehicles;IEEE Access;2024
4. Leveraging AI for Enhanced Power Systems Control: An Introductory Study of Model-Free DRL Approaches;IEEE Access;2024
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