Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/128497
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dc.contributor.authorXu, D.en
dc.contributor.authorZhang, W.en
dc.contributor.authorJiang, B.en
dc.contributor.authorShi, P.en
dc.contributor.authorWang, S.en
dc.date.issued2020en
dc.identifier.citationIEEE Transactions on Industrial Informatics, 2020; 16(2):1224-1235en
dc.identifier.issn1551-3203en
dc.identifier.issn1941-0050en
dc.identifier.urihttp://hdl.handle.net/2440/128497-
dc.description.abstractWith the aim to solve the problems related to the power distribution and current chattering in a distributed energy storage system (DESS), which can be considered as a multiagent system in dc microgrid, a model-free cooperative sliding mode control scheme with a directed-graph-based observer is proposed in this article. First, a state-of-charge (SoC)-based droop control strategy is combined with a directed-graph-based voltage regulation method to balance the SoCs of each energy storage unit (ESU), allocate the power, and maintain the bus voltage stability. Besides, a directed-graph-based observer is designed to estimate the battery current considering the communication between the ESUs, and based on this observer, an estimation algorithm for adaptive coefficients is developed. Then, the multiagent sliding mode control strategy with an antiwindup compensator of input constraint is developed to track the reference current with little chattering in the DESS, and the stability proof is given. Finally, simulations are conducted to validate the effectiveness and superiority of the newly designed control strategy for the DESS.en
dc.description.statementofresponsibilityDezhi Xu, Weiming Zhang, Bin Jiang, Peng Shi, Shuoyu Wangen
dc.language.isoenen
dc.publisherIEEEen
dc.rights© 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.en
dc.titleDirected-graph-observer-based model-free cooperative sliding mode control for distributed energy storage systems in DC microgriden
dc.typeJournal articleen
dc.identifier.rmid1000014147en
dc.identifier.doi10.1109/TII.2019.2933227en
dc.relation.granthttp://purl.org/au-research/grants/arc/DP170102644en
dc.identifier.pubid519539-
pubs.library.collectionComputer Science publicationsen
pubs.library.teamDS10en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidShi, P. [0000-0001-8218-586X]en
Appears in Collections:Computer Science publications

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