Distributed Q-Learning Droop Control for Frequency Synchronization and Voltage Restoration in Isolated AC Micro-Grids
Author:
Affiliation:
1. National Tsing Hua University,Department of Electrical Engineering,Hsinchu,Taiwan,R.O.C.
Funder
Ministry of Science and Technology (MOST), Taiwan, R.O.C.
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9939685/9939671/09939855.pdf?arnumber=9939855
Reference20 articles.
1. Model-Free Algorithms for Containment Control of Saturated Discrete-Time Multiagent Systems via Q-Learning Method
2. Semi-Global Leader-Following Consensus of Linear Multi-Agent Systems With Input Saturation via Low Gain Feedback
3. Off-Policy Reinforcement Learning for Synchronization in Multiagent Graphical Games
4. Q-learning for continuous-time linear systems: A model-free infinite horizon optimal control approach
5. Cooperative Synchronization in Distributed Microgrid Control
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1. Review of Computational Intelligence Approaches for Microgrid Energy Management;IEEE Access;2024
2. Review on microgrids design and monitoring approaches for sustainable green energy networks;Scientific Reports;2023-12-08
3. Data-Driven Distributed Q-Learning Droop Control for Frequency Synchronization and Voltage Restoration in Isolated AC Micro-Grids;IEEE Transactions on Industry Applications;2023-11
4. Distributed Noise-Resilient Fixed-Time Consensus Secondary Control for Hybrid Inverter-Based AC/DC Microgrids;IEEE Transactions on Industry Applications;2023-11
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