LAPSE:2023.4469v1
Published Article
LAPSE:2023.4469v1
Distributed Secondary Voltage Control for DC Microgrids with Consideration of Asynchronous Sampling
February 23, 2023
Abstract
This paper studies the distributed secondary control of DC microgrids (MGs) in the case of asynchronous sampling, including both the stability condition and accurate consensus algorithm. The asynchrony means that the update actions of each distributed generation (DG) based on the local information and information received from neighbors are independent of the actions of others at sampled discrete times, which would cause deviation from the accurate convergence and even lead to instability in the worst case. First, a small-signal model of MG installed with secondary voltage control is established to include the individual sampling periods. A stability criterion based on the periodic continuity of sampling instant offset is thus formulated to reveal a stability mapping of multiple sampling. By quantifying the accuracy deviations caused by the asynchrony, an improved ratio consensus strategy is proposed that allows the deviation to be estimated accurately via an auxiliary signal and compensated with respect to the eventual equilibrium to produce an exact solution. Our approach customizes the stability and accuracy for distributed secondary control considering asynchronous sampling in MG, which has been ignored in most existing literature. The effectiveness of the proposed methodology is verified by simulations.
Keywords
accurate consensus, asynchronous sampling, convergence deviation, microgrid, secondary control
Suggested Citation
Lou G, Hong Y, Li S. Distributed Secondary Voltage Control for DC Microgrids with Consideration of Asynchronous Sampling. (2023). LAPSE:2023.4469v1
Author Affiliations
Lou G: School of Electrical Engineering, Southeast University, Nanjing 210096, China; Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment, Southeast University, Nanjing 210096, China [ORCID]
Hong Y: School of Electrical Engineering, Southeast University, Nanjing 210096, China [ORCID]
Li S: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Journal Name
Processes
Volume
9
Issue
11
First Page
1992
Year
2021
Publication Date
2021-11-08
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr9111992, Publication Type: Journal Article
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LAPSE:2023.4469v1
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https://doi.org/10.3390/pr9111992
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