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A Dynamic Diffusion Algorithm for Discrete-Time Cooperative Control for DC Microgrids

Zhang, Boshen; Gao, Fei; Liao, Dawei; Liu, Dong; Wheeler, Patrick

A Dynamic Diffusion Algorithm for Discrete-Time Cooperative Control for DC Microgrids Thumbnail


Authors

Boshen Zhang

Fei Gao

Dawei Liao

Dong Liu



Abstract

Voltage restoration and current sharing are crucial issues for the secondary control in dc microgrids (MGs). Distributed control has been widely employed as an effective approach for the secondary control, where different algorithms can be used in the communication network. In this paper, a dynamic diffusion algorithm (DDA) is introduced to the distributed secondary control of the dc MG. Considering the digital implementation of controllers and communication algorithms, a discrete model of the whole system is established. Compared with traditional schemes, the proposed method can improve the dynamic response and stability of the system. The advantages of the proposed DDA over traditional consensus and diffusion algorithms are given in terms of both the algorithm itself and its application in the dc MG, with a rigorous mathematical derivation. Finally, the effectiveness of the proposed DDA and corresponding analytical results have been verified by experiments on a laboratory dc MG.

Citation

Zhang, B., Gao, F., Liao, D., Liu, D., & Wheeler, P. (2024). A Dynamic Diffusion Algorithm for Discrete-Time Cooperative Control for DC Microgrids. IEEE Transactions on Power Electronics, 39(8), 9399-9414. https://doi.org/10.1109/TPEL.2024.3395998

Journal Article Type Article
Acceptance Date May 1, 2024
Online Publication Date May 1, 2024
Publication Date May 1, 2024
Deposit Date Jun 14, 2024
Publicly Available Date Oct 9, 2024
Journal IEEE Transactions on Power Electronics
Print ISSN 0885-8993
Electronic ISSN 1941-0107
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 39
Issue 8
Pages 9399-9414
DOI https://doi.org/10.1109/TPEL.2024.3395998
Public URL https://nottingham-repository.worktribe.com/output/35446930
Publisher URL https://ieeexplore.ieee.org/document/10517456

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