Convergence Analysis of Distributed Control for Operation Cost Minimization of Droop Controlled DC Microgrid Based on Multiagent

Chendan Li; Juan Carlos Vasquez Quintero; Josep M. Guerrero

doi:10.1109/APEC.2016.7468364

Convergence Analysis of Distributed Control for Operation Cost Minimization of Droop Controlled DC Microgrid Based on Multiagent

Chendan Li, Juan Carlos Vasquez Quintero, Josep M. Guerrero

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Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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Abstract

In this paper we present a distributed control method for minimizing the operation cost in DC microgrid based on multiagent system. Each agent is autonomous and controls the local converter in a hierarchical way through droop control, voltage scheduling and collective decision making. The collective decision for the whole system is made by proposed
incremental cost consensus, and only nearest-neighbor communication is needed. The convergence characteristics of the consensus algorithm are analyzed considering different
communication topologies and control parameters. Case studies verified the proposed method by comparing it without traditional methods. The robustness of system is tested under different communication latency and plug and play operation.

Originalsprog	Engelsk
Titel	Proceedings of the 31st Annual IEEE Applied Power Electronics Conference and Exposition (APEC)
Antal sider	6
Forlag	IEEE (Institute of Electrical and Electronics Engineers)
Publikationsdato	mar. 2016
Sider	3459 - 3464
ISBN (Trykt)	978-1-4673-8393-6, 978-1-4673-9551-9
ISBN (Elektronisk)	978-1-4673-9550-2
DOI	https://doi.org/10.1109/APEC.2016.7468364
Status	Udgivet - mar. 2016
Begivenhed	2016 IEEE Applied Power Electronics Conference and Exposition (APEC) - Long Beach Convention and Entertainment Center, Long Beach, USA Varighed: 20 mar. 2016 → 24 mar. 2016 http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=32616

Konference

Konference	2016 IEEE Applied Power Electronics Conference and Exposition (APEC)
Lokation	Long Beach Convention and Entertainment Center
Land/Område	USA
By	Long Beach
Periode	20/03/2016 → 24/03/2016
Internetadresse	http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=32616

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10.1109/APEC.2016.7468364

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Citationsformater

Li, C., Quintero, J. C. V., & Guerrero, J. M. (2016). Convergence Analysis of Distributed Control for Operation Cost Minimization of Droop Controlled DC Microgrid Based on Multiagent. I Proceedings of the 31st Annual IEEE Applied Power Electronics Conference and Exposition (APEC) (s. 3459 - 3464). IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/APEC.2016.7468364

Li, Chendan ; Quintero, Juan Carlos Vasquez ; Guerrero, Josep M. / Convergence Analysis of Distributed Control for Operation Cost Minimization of Droop Controlled DC Microgrid Based on Multiagent. Proceedings of the 31st Annual IEEE Applied Power Electronics Conference and Exposition (APEC). IEEE (Institute of Electrical and Electronics Engineers), 2016. s. 3459 - 3464

@inproceedings{f99b5747357d4741ab974d2d46ababba,

title = "Convergence Analysis of Distributed Control for Operation Cost Minimization of Droop Controlled DC Microgrid Based on Multiagent",

abstract = "In this paper we present a distributed control method for minimizing the operation cost in DC microgrid based on multiagent system. Each agent is autonomous and controls the local converter in a hierarchical way through droop control, voltage scheduling and collective decision making. The collective decision for the whole system is made by proposedincremental cost consensus, and only nearest-neighbor communication is needed. The convergence characteristics of the consensus algorithm are analyzed considering differentcommunication topologies and control parameters. Case studies verified the proposed method by comparing it without traditional methods. The robustness of system is tested under different communication latency and plug and play operation.",

keywords = "Economic dispatch problem , Multiagent, Incremental cost consensus, Voltage scheduling, DC microgrid, Droop control, Operation cost minimization",

author = "Chendan Li and Quintero, {Juan Carlos Vasquez} and Guerrero, {Josep M.}",

year = "2016",

month = mar,

doi = "10.1109/APEC.2016.7468364",

language = "English",

isbn = "978-1-4673-8393-6",

pages = "3459 -- 3464",

booktitle = "Proceedings of the 31st Annual IEEE Applied Power Electronics Conference and Exposition (APEC)",

publisher = "IEEE (Institute of Electrical and Electronics Engineers)",

address = "United States",

note = "2016 IEEE Applied Power Electronics Conference and Exposition (APEC) ; Conference date: 20-03-2016 Through 24-03-2016",

url = "http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=32616",

}

Li, C, Quintero, JCV & Guerrero, JM 2016, Convergence Analysis of Distributed Control for Operation Cost Minimization of Droop Controlled DC Microgrid Based on Multiagent. i Proceedings of the 31st Annual IEEE Applied Power Electronics Conference and Exposition (APEC). IEEE (Institute of Electrical and Electronics Engineers), s. 3459 - 3464, 2016 IEEE Applied Power Electronics Conference and Exposition (APEC), Long Beach, USA, 20/03/2016. https://doi.org/10.1109/APEC.2016.7468364

Convergence Analysis of Distributed Control for Operation Cost Minimization of Droop Controlled DC Microgrid Based on Multiagent. / Li, Chendan; Quintero, Juan Carlos Vasquez ; Guerrero, Josep M.
Proceedings of the 31st Annual IEEE Applied Power Electronics Conference and Exposition (APEC). IEEE (Institute of Electrical and Electronics Engineers), 2016. s. 3459 - 3464.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

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AU - Li, Chendan

AU - Quintero, Juan Carlos Vasquez

AU - Guerrero, Josep M.

PY - 2016/3

Y1 - 2016/3

N2 - In this paper we present a distributed control method for minimizing the operation cost in DC microgrid based on multiagent system. Each agent is autonomous and controls the local converter in a hierarchical way through droop control, voltage scheduling and collective decision making. The collective decision for the whole system is made by proposedincremental cost consensus, and only nearest-neighbor communication is needed. The convergence characteristics of the consensus algorithm are analyzed considering differentcommunication topologies and control parameters. Case studies verified the proposed method by comparing it without traditional methods. The robustness of system is tested under different communication latency and plug and play operation.

AB - In this paper we present a distributed control method for minimizing the operation cost in DC microgrid based on multiagent system. Each agent is autonomous and controls the local converter in a hierarchical way through droop control, voltage scheduling and collective decision making. The collective decision for the whole system is made by proposedincremental cost consensus, and only nearest-neighbor communication is needed. The convergence characteristics of the consensus algorithm are analyzed considering differentcommunication topologies and control parameters. Case studies verified the proposed method by comparing it without traditional methods. The robustness of system is tested under different communication latency and plug and play operation.

KW - Economic dispatch problem

KW - Multiagent

KW - Incremental cost consensus

KW - Voltage scheduling

KW - DC microgrid

KW - Droop control

KW - Operation cost minimization

U2 - 10.1109/APEC.2016.7468364

DO - 10.1109/APEC.2016.7468364

M3 - Article in proceeding

SN - 978-1-4673-8393-6

SN - 978-1-4673-9551-9

SP - 3459

EP - 3464

BT - Proceedings of the 31st Annual IEEE Applied Power Electronics Conference and Exposition (APEC)

PB - IEEE (Institute of Electrical and Electronics Engineers)

T2 - 2016 IEEE Applied Power Electronics Conference and Exposition (APEC)

Y2 - 20 March 2016 through 24 March 2016

ER -

Li C, Quintero JCV , Guerrero JM. Convergence Analysis of Distributed Control for Operation Cost Minimization of Droop Controlled DC Microgrid Based on Multiagent. I Proceedings of the 31st Annual IEEE Applied Power Electronics Conference and Exposition (APEC). IEEE (Institute of Electrical and Electronics Engineers). 2016. s. 3459 - 3464 doi: 10.1109/APEC.2016.7468364

Convergence Analysis of Distributed Control for Operation Cost Minimization of Droop Controlled DC Microgrid Based on Multiagent

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