Distributed Secondary Voltage Control for DC Microgrids with Consideration of Asynchronous Sampling

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 a...

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Autores principales:	Guannan Lou, Yinqiu Hong, Shanlin Li
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	asynchronous sampling accurate consensus convergence deviation microgrid secondary control Chemical technology TP1-1185 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/94915b7a119643f8947d8e490d96702e
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spelling	oai:doaj.org-article:94915b7a119643f8947d8e490d96702e2021-11-25T18:51:17ZDistributed Secondary Voltage Control for DC Microgrids with Consideration of Asynchronous Sampling10.3390/pr91119922227-9717https://doaj.org/article/94915b7a119643f8947d8e490d96702e2021-11-01T00:00:00Zhttps://www.mdpi.com/2227-9717/9/11/1992https://doaj.org/toc/2227-9717This 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.Guannan LouYinqiu HongShanlin LiMDPI AGarticleasynchronous samplingaccurate consensusconvergence deviationmicrogridsecondary controlChemical technologyTP1-1185ChemistryQD1-999ENProcesses, Vol 9, Iss 1992, p 1992 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	asynchronous sampling accurate consensus convergence deviation microgrid secondary control Chemical technology TP1-1185 Chemistry QD1-999
spellingShingle	asynchronous sampling accurate consensus convergence deviation microgrid secondary control Chemical technology TP1-1185 Chemistry QD1-999 Guannan Lou Yinqiu Hong Shanlin Li Distributed Secondary Voltage Control for DC Microgrids with Consideration of Asynchronous Sampling
description	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.
format	article
author	Guannan Lou Yinqiu Hong Shanlin Li
author_facet	Guannan Lou Yinqiu Hong Shanlin Li
author_sort	Guannan Lou
title	Distributed Secondary Voltage Control for DC Microgrids with Consideration of Asynchronous Sampling
title_short	Distributed Secondary Voltage Control for DC Microgrids with Consideration of Asynchronous Sampling
title_full	Distributed Secondary Voltage Control for DC Microgrids with Consideration of Asynchronous Sampling
title_fullStr	Distributed Secondary Voltage Control for DC Microgrids with Consideration of Asynchronous Sampling
title_full_unstemmed	Distributed Secondary Voltage Control for DC Microgrids with Consideration of Asynchronous Sampling
title_sort	distributed secondary voltage control for dc microgrids with consideration of asynchronous sampling
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/94915b7a119643f8947d8e490d96702e
work_keys_str_mv	AT guannanlou distributedsecondaryvoltagecontrolfordcmicrogridswithconsiderationofasynchronoussampling AT yinqiuhong distributedsecondaryvoltagecontrolfordcmicrogridswithconsiderationofasynchronoussampling AT shanlinli distributedsecondaryvoltagecontrolfordcmicrogridswithconsiderationofasynchronoussampling
_version_	1718410660994351104

Distributed Secondary Voltage Control for DC Microgrids with Consideration of Asynchronous Sampling

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