Multi-Agent-Based Distributed State of Charge Balancing Control for Distributed Energy Storage Units in AC Microgrids

Chendan Li, Tomislav Dragicevic, Juan Carlos Vasquez, Josep M. Guerrero, Ernane A. A. Coelho

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

24 Citations (Scopus)
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Abstract

In this paper, a multiagent based distributed control algorithm has been proposed to achieve state of charge (SoC) balance of distributed energy storage (DES) units in an AC microgrid. The proposal uses frequency scheduling instead of adaptive droop gain. Each DES unit is taken as an agent and they schedule their own frequency reference given of the real power droop controller according to the SoC values of the other DES units. Further, to obtain the average SoC value of DES, dynamic average consensus algorithm is adapted by each agent. A smallsignal model of the system is developed in order to verify the stability of the control system and control parameters design. Simulation results demonstrate the effectiveness of the control strategy and also show the robustness against communication topology changes.
Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE Applied Power Electronics Conference and Exposition (APEC)
Number of pages7
PublisherIEEE Press
Publication dateMar 2015
Pages2967 - 2973
ISBN (Print)978-1-4799-6735-3
DOIs
Publication statusPublished - Mar 2015
Event30th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2015 - Charlotte, United States
Duration: 15 Mar 201519 Mar 2015

Conference

Conference30th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2015
CountryUnited States
CityCharlotte
Period15/03/201519/03/2015
SeriesI E E E Applied Power Electronics Conference and Exposition. Conference Proceedings
ISSN1048-2334

Fingerprint

Energy storage
Scheduling
Topology
Control systems
Controllers
Communication

Keywords

  • Multiagent
  • Dynamic average consensus
  • Frequency scheduling
  • AC microgrids
  • Distributed energy storage
  • State-of-charge balance
  • Distributed control

Cite this

Li, C., Dragicevic, T., Vasquez, J. C., Guerrero, J. M., & Coelho, E. A. A. (2015). Multi-Agent-Based Distributed State of Charge Balancing Control for Distributed Energy Storage Units in AC Microgrids. In Proceedings of the 2015 IEEE Applied Power Electronics Conference and Exposition (APEC) (pp. 2967 - 2973 ). IEEE Press. I E E E Applied Power Electronics Conference and Exposition. Conference Proceedings https://doi.org/10.1109/APEC.2015.7104773
Li, Chendan ; Dragicevic, Tomislav ; Vasquez, Juan Carlos ; Guerrero, Josep M. ; Coelho, Ernane A. A. / Multi-Agent-Based Distributed State of Charge Balancing Control for Distributed Energy Storage Units in AC Microgrids. Proceedings of the 2015 IEEE Applied Power Electronics Conference and Exposition (APEC). IEEE Press, 2015. pp. 2967 - 2973 (I E E E Applied Power Electronics Conference and Exposition. Conference Proceedings).
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abstract = "In this paper, a multiagent based distributed control algorithm has been proposed to achieve state of charge (SoC) balance of distributed energy storage (DES) units in an AC microgrid. The proposal uses frequency scheduling instead of adaptive droop gain. Each DES unit is taken as an agent and they schedule their own frequency reference given of the real power droop controller according to the SoC values of the other DES units. Further, to obtain the average SoC value of DES, dynamic average consensus algorithm is adapted by each agent. A smallsignal model of the system is developed in order to verify the stability of the control system and control parameters design. Simulation results demonstrate the effectiveness of the control strategy and also show the robustness against communication topology changes.",
keywords = "Multiagent, Dynamic average consensus, Frequency scheduling, AC microgrids, Distributed energy storage, State-of-charge balance, Distributed control",
author = "Chendan Li and Tomislav Dragicevic and Vasquez, {Juan Carlos} and Guerrero, {Josep M.} and Coelho, {Ernane A. A.}",
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Li, C, Dragicevic, T, Vasquez, JC, Guerrero, JM & Coelho, EAA 2015, Multi-Agent-Based Distributed State of Charge Balancing Control for Distributed Energy Storage Units in AC Microgrids. in Proceedings of the 2015 IEEE Applied Power Electronics Conference and Exposition (APEC). IEEE Press, I E E E Applied Power Electronics Conference and Exposition. Conference Proceedings, pp. 2967 - 2973 , 30th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2015, Charlotte, United States, 15/03/2015. https://doi.org/10.1109/APEC.2015.7104773

Multi-Agent-Based Distributed State of Charge Balancing Control for Distributed Energy Storage Units in AC Microgrids. / Li, Chendan; Dragicevic, Tomislav; Vasquez, Juan Carlos; Guerrero, Josep M.; Coelho, Ernane A. A.

Proceedings of the 2015 IEEE Applied Power Electronics Conference and Exposition (APEC). IEEE Press, 2015. p. 2967 - 2973 (I E E E Applied Power Electronics Conference and Exposition. Conference Proceedings).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

TY - GEN

T1 - Multi-Agent-Based Distributed State of Charge Balancing Control for Distributed Energy Storage Units in AC Microgrids

AU - Li, Chendan

AU - Dragicevic, Tomislav

AU - Vasquez, Juan Carlos

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AU - Coelho, Ernane A. A.

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N2 - In this paper, a multiagent based distributed control algorithm has been proposed to achieve state of charge (SoC) balance of distributed energy storage (DES) units in an AC microgrid. The proposal uses frequency scheduling instead of adaptive droop gain. Each DES unit is taken as an agent and they schedule their own frequency reference given of the real power droop controller according to the SoC values of the other DES units. Further, to obtain the average SoC value of DES, dynamic average consensus algorithm is adapted by each agent. A smallsignal model of the system is developed in order to verify the stability of the control system and control parameters design. Simulation results demonstrate the effectiveness of the control strategy and also show the robustness against communication topology changes.

AB - In this paper, a multiagent based distributed control algorithm has been proposed to achieve state of charge (SoC) balance of distributed energy storage (DES) units in an AC microgrid. The proposal uses frequency scheduling instead of adaptive droop gain. Each DES unit is taken as an agent and they schedule their own frequency reference given of the real power droop controller according to the SoC values of the other DES units. Further, to obtain the average SoC value of DES, dynamic average consensus algorithm is adapted by each agent. A smallsignal model of the system is developed in order to verify the stability of the control system and control parameters design. Simulation results demonstrate the effectiveness of the control strategy and also show the robustness against communication topology changes.

KW - Multiagent

KW - Dynamic average consensus

KW - Frequency scheduling

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KW - Distributed energy storage

KW - State-of-charge balance

KW - Distributed control

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M3 - Article in proceeding

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BT - Proceedings of the 2015 IEEE Applied Power Electronics Conference and Exposition (APEC)

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Li C, Dragicevic T, Vasquez JC, Guerrero JM, Coelho EAA. Multi-Agent-Based Distributed State of Charge Balancing Control for Distributed Energy Storage Units in AC Microgrids. In Proceedings of the 2015 IEEE Applied Power Electronics Conference and Exposition (APEC). IEEE Press. 2015. p. 2967 - 2973 . (I E E E Applied Power Electronics Conference and Exposition. Conference Proceedings). https://doi.org/10.1109/APEC.2015.7104773