On distributed consensus algorithms and their application to power sharing in DC microgrids

C. Zevenbergen; Sergio Grammatico

doi:10.1109/ICSTCC50638.2020.9259744

On distributed consensus algorithms and their application to power sharing in DC microgrids

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

Abstract

We consider nonlinear consensus algorithms and their application to proportional power sharing in DC microgrids. We show that a power sharing algorithm is a special case of nonlinear consensus protocol and we establish convergence to state consensus with adaptive gains. The key facts are the presence of an agreement function in the power sharing algorithm and the preservation of a weighted geometric mean over time. These observations allow us to improve the performance of this class of algorithms via the theory of nonlinear consensus.

Original language	English
Title of host publication	Proceedings of the 24th International Conference on System Theory, Control and Computing, ICSTCC 2020
Editors	Lucian-Florentin Barbulescu
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE
Pages	788-793
ISBN (Electronic)	978-1-7281-9809-5
DOIs	https://doi.org/10.1109/ICSTCC50638.2020.9259744
Publication status	Published - 2020
Event	24th International Conference on System Theory, Control and Computing, ICSTCC 2020 - Virtual, Sinaia, Romania Duration: 8 Oct 2020 → 10 Oct 2020

Conference

Conference	24th International Conference on System Theory, Control and Computing, ICSTCC 2020
Country/Territory	Romania
City	Virtual, Sinaia
Period	8/10/20 → 10/10/20

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10.1109/ICSTCC50638.2020.9259744

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@inproceedings{d87d98d1e0ef429bb025003e0f240c08,

title = "On distributed consensus algorithms and their application to power sharing in DC microgrids",

abstract = "We consider nonlinear consensus algorithms and their application to proportional power sharing in DC microgrids. We show that a power sharing algorithm is a special case of nonlinear consensus protocol and we establish convergence to state consensus with adaptive gains. The key facts are the presence of an agreement function in the power sharing algorithm and the preservation of a weighted geometric mean over time. These observations allow us to improve the performance of this class of algorithms via the theory of nonlinear consensus.",

author = "C. Zevenbergen and Sergio Grammatico",

year = "2020",

doi = "10.1109/ICSTCC50638.2020.9259744",

language = "English",

pages = "788--793",

editor = "Lucian-Florentin Barbulescu",

booktitle = "Proceedings of the 24th International Conference on System Theory, Control and Computing, ICSTCC 2020",

publisher = "IEEE",

address = "United States",

note = "24th International Conference on System Theory, Control and Computing, ICSTCC 2020 ; Conference date: 08-10-2020 Through 10-10-2020",

}

Zevenbergen, C & Grammatico, S 2020, On distributed consensus algorithms and their application to power sharing in DC microgrids. in L-F Barbulescu (ed.), Proceedings of the 24th International Conference on System Theory, Control and Computing, ICSTCC 2020 . IEEE, Piscataway, NJ, USA, pp. 788-793, 24th International Conference on System Theory, Control and Computing, ICSTCC 2020, Virtual, Sinaia, Romania, 8/10/20. https://doi.org/10.1109/ICSTCC50638.2020.9259744

On distributed consensus algorithms and their application to power sharing in DC microgrids. / Zevenbergen, C.; Grammatico, Sergio.
Proceedings of the 24th International Conference on System Theory, Control and Computing, ICSTCC 2020 . ed. / Lucian-Florentin Barbulescu. Piscataway, NJ, USA: IEEE, 2020. p. 788-793.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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N2 - We consider nonlinear consensus algorithms and their application to proportional power sharing in DC microgrids. We show that a power sharing algorithm is a special case of nonlinear consensus protocol and we establish convergence to state consensus with adaptive gains. The key facts are the presence of an agreement function in the power sharing algorithm and the preservation of a weighted geometric mean over time. These observations allow us to improve the performance of this class of algorithms via the theory of nonlinear consensus.

AB - We consider nonlinear consensus algorithms and their application to proportional power sharing in DC microgrids. We show that a power sharing algorithm is a special case of nonlinear consensus protocol and we establish convergence to state consensus with adaptive gains. The key facts are the presence of an agreement function in the power sharing algorithm and the preservation of a weighted geometric mean over time. These observations allow us to improve the performance of this class of algorithms via the theory of nonlinear consensus.

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BT - Proceedings of the 24th International Conference on System Theory, Control and Computing, ICSTCC 2020

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T2 - 24th International Conference on System Theory, Control and Computing, ICSTCC 2020

Y2 - 8 October 2020 through 10 October 2020

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On distributed consensus algorithms and their application to power sharing in DC microgrids

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