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- W4309757875 abstract "We consider frequency synchronization and voltage restoration of the isolated micro-grids (MG) by distributed reinforcement learning droop control methods. By exploring the data-driven Q-learning algorithm with the adjacent information sharing mechanism, a fully distributed model-free Q-learning-based droop control is adopted for autonomous frequency synchronization and voltage restoration. Since the proposed distributed control is indeed model-free, it is very suitable for plug-and-play operations of isolated MGs if sufficient operation data of MGs are well-collected. To validate the performance of the proposed method, the proposed distributed Q-learning algorithm was implemented on Matlab/Simulink environment. Simulation results of modified IEEE 34-node distribution system can demonstrate the effectiveness of the proposed distributed Q-learning droop control." @default.
- W4309757875 created "2022-11-29" @default.
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- W4309757875 date "2022-10-09" @default.
- W4309757875 modified "2023-10-16" @default.
- W4309757875 title "Distributed Q-Learning Droop Control for Frequency Synchronization and Voltage Restoration in Isolated AC Micro-Grids" @default.
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- W4309757875 doi "https://doi.org/10.1109/ias54023.2022.9939855" @default.
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