Distributed Secondary Control Strategy Based on <tex>$Q$</tex>-learning and Pinning Control for Droop-controlled Microgrids
A distributed secondary control (DSC) strategy that combines <tex>$Q$</tex>-learning and pinning control is originally proposed to achieve a fully optimal DSC for droop-controlled microgrids (MGs). It takes advantages of cross-fusion of the two algorithms to realize the high efficiency a...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
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Series: | Journal of Modern Power Systems and Clean Energy |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9853025/ |