A Dynamic Average Consensus-Based Distributed Control for DC Microgrids Using Virtual Power Tracking

Zuliang Huang; Zhao Yang Dong; Yuechuan Tao; Shuying Lai; Tianjing Wang; Zuqing Zheng; Tong Li

doi:10.1109/ETFG61999.2025.11401171

A Dynamic Average Consensus-Based Distributed Control for DC Microgrids Using Virtual Power Tracking

Zuliang Huang
, Zhao Yang Dong
, Yuechuan Tao^*
, Shuying Lai
, Tianjing Wang
, Zuqing Zheng
, Tong Li

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

The distributed control plays an increasingly important role in energy storage systems (ESSs) of DC microgrids due to its inherent plug-and-play nature. In this paper, a novel distributed control strategy for virtual power tracking is introduced, leveraging a discrete-time dynamic average consensus algorithm. This approach enables the accomplishment of precise current sharing, bus voltage restoration, and state-of-charge (SOC) balancing without reliance on droop control mechanisms. Moreover, the proposed second-order average consensus algorithm can obtain accurate global average information in networks with variable communication delay. Through this algorithm, each local controller transmits the discrete signal to its neighbors and processes the received information discretely. Hence, low communication is guaranteed. The effectiveness of the presented strategy is validated through simulations conducted in MATLAB/SIMULINK. © 2025 IEEE.

Original language	English
Title of host publication	Conference Proceedings - 2025 IEEE International Conference on Energy Technologies for Future Grids (ETFG 2025)
Publisher	IEEE
ISBN (Electronic)	979-8-3315-7640-0
DOIs	https://doi.org/10.1109/ETFG61999.2025.11401171
Publication status	Published - Dec 2025
Event	2025 IEEE International Conference on Energy Technologies for Future Grids (ETFG 2025) - Wollongong, Australia Duration: 7 Dec 2025 → 11 Dec 2025 https://attend.ieee.org/etfg-2025/

Publication series

Name	Conference Proceedings - IEEE International Conference on Energy Technologies for Future Grids, ETFG

Conference

Conference	2025 IEEE International Conference on Energy Technologies for Future Grids (ETFG 2025)
Place	Australia
City	Wollongong
Period	7/12/25 → 11/12/25
Internet address	https://attend.ieee.org/etfg-2025/

Funding

This work is partially supported by JC STEM Lab of Future Energy Systems (2025-0039), Global STEM Professorship (GSP313), and a Startup Grant of City Univerisity of Hong Kong (Data Driven Real Time Smart Energy Management System Supporting Energy Transition)

Research Keywords

DC microgrid
dynamic consensus algorithm
energy storage
SOC balancing

Access Output

10.1109/ETFG61999.2025.11401171

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

Huang, Z., Dong, Z. Y., Tao, Y., Lai, S., Wang, T., Zheng, Z., & Li, T. (2025). A Dynamic Average Consensus-Based Distributed Control for DC Microgrids Using Virtual Power Tracking. In Conference Proceedings - 2025 IEEE International Conference on Energy Technologies for Future Grids (ETFG 2025) (Conference Proceedings - IEEE International Conference on Energy Technologies for Future Grids, ETFG). IEEE. https://doi.org/10.1109/ETFG61999.2025.11401171

Huang, Zuliang ; Dong, Zhao Yang ; Tao, Yuechuan et al. / A Dynamic Average Consensus-Based Distributed Control for DC Microgrids Using Virtual Power Tracking. Conference Proceedings - 2025 IEEE International Conference on Energy Technologies for Future Grids (ETFG 2025). IEEE, 2025. (Conference Proceedings - IEEE International Conference on Energy Technologies for Future Grids, ETFG).

@inproceedings{7577c458091446f38a8f385a5ee981f0,

title = "A Dynamic Average Consensus-Based Distributed Control for DC Microgrids Using Virtual Power Tracking",

abstract = "The distributed control plays an increasingly important role in energy storage systems (ESSs) of DC microgrids due to its inherent plug-and-play nature. In this paper, a novel distributed control strategy for virtual power tracking is introduced, leveraging a discrete-time dynamic average consensus algorithm. This approach enables the accomplishment of precise current sharing, bus voltage restoration, and state-of-charge (SOC) balancing without reliance on droop control mechanisms. Moreover, the proposed second-order average consensus algorithm can obtain accurate global average information in networks with variable communication delay. Through this algorithm, each local controller transmits the discrete signal to its neighbors and processes the received information discretely. Hence, low communication is guaranteed. The effectiveness of the presented strategy is validated through simulations conducted in MATLAB/SIMULINK. {\textcopyright} 2025 IEEE.",

keywords = "DC microgrid, dynamic consensus algorithm, energy storage, SOC balancing",

author = "Zuliang Huang and Dong, \{Zhao Yang\} and Yuechuan Tao and Shuying Lai and Tianjing Wang and Zuqing Zheng and Tong Li",

year = "2025",

month = dec,

doi = "10.1109/ETFG61999.2025.11401171",

language = "English",

series = "Conference Proceedings - IEEE International Conference on Energy Technologies for Future Grids, ETFG",

publisher = "IEEE",

booktitle = "Conference Proceedings - 2025 IEEE International Conference on Energy Technologies for Future Grids (ETFG 2025)",

address = "United States",

note = "2025 IEEE International Conference on Energy Technologies for Future Grids (ETFG 2025) ; Conference date: 07-12-2025 Through 11-12-2025",

url = "https://attend.ieee.org/etfg-2025/",

}

Huang, Z , Dong, ZY , Tao, Y, Lai, S, Wang, T, Zheng, Z & Li, T 2025, A Dynamic Average Consensus-Based Distributed Control for DC Microgrids Using Virtual Power Tracking. in Conference Proceedings - 2025 IEEE International Conference on Energy Technologies for Future Grids (ETFG 2025). Conference Proceedings - IEEE International Conference on Energy Technologies for Future Grids, ETFG, IEEE, 2025 IEEE International Conference on Energy Technologies for Future Grids (ETFG 2025), Wollongong, Australia, 7/12/25. https://doi.org/10.1109/ETFG61999.2025.11401171

A Dynamic Average Consensus-Based Distributed Control for DC Microgrids Using Virtual Power Tracking. / Huang, Zuliang ; Dong, Zhao Yang ; Tao, Yuechuan et al.
Conference Proceedings - 2025 IEEE International Conference on Energy Technologies for Future Grids (ETFG 2025). IEEE, 2025. (Conference Proceedings - IEEE International Conference on Energy Technologies for Future Grids, ETFG).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A Dynamic Average Consensus-Based Distributed Control for DC Microgrids Using Virtual Power Tracking

AU - Huang, Zuliang

AU - Dong, Zhao Yang

AU - Tao, Yuechuan

AU - Lai, Shuying

AU - Wang, Tianjing

AU - Zheng, Zuqing

AU - Li, Tong

PY - 2025/12

Y1 - 2025/12

N2 - The distributed control plays an increasingly important role in energy storage systems (ESSs) of DC microgrids due to its inherent plug-and-play nature. In this paper, a novel distributed control strategy for virtual power tracking is introduced, leveraging a discrete-time dynamic average consensus algorithm. This approach enables the accomplishment of precise current sharing, bus voltage restoration, and state-of-charge (SOC) balancing without reliance on droop control mechanisms. Moreover, the proposed second-order average consensus algorithm can obtain accurate global average information in networks with variable communication delay. Through this algorithm, each local controller transmits the discrete signal to its neighbors and processes the received information discretely. Hence, low communication is guaranteed. The effectiveness of the presented strategy is validated through simulations conducted in MATLAB/SIMULINK. © 2025 IEEE.

AB - The distributed control plays an increasingly important role in energy storage systems (ESSs) of DC microgrids due to its inherent plug-and-play nature. In this paper, a novel distributed control strategy for virtual power tracking is introduced, leveraging a discrete-time dynamic average consensus algorithm. This approach enables the accomplishment of precise current sharing, bus voltage restoration, and state-of-charge (SOC) balancing without reliance on droop control mechanisms. Moreover, the proposed second-order average consensus algorithm can obtain accurate global average information in networks with variable communication delay. Through this algorithm, each local controller transmits the discrete signal to its neighbors and processes the received information discretely. Hence, low communication is guaranteed. The effectiveness of the presented strategy is validated through simulations conducted in MATLAB/SIMULINK. © 2025 IEEE.

KW - DC microgrid

KW - dynamic consensus algorithm

KW - energy storage

KW - SOC balancing

UR - http://www.scopus.com/inward/record.url?scp=105036327832&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-105036327832&origin=recordpage

U2 - 10.1109/ETFG61999.2025.11401171

DO - 10.1109/ETFG61999.2025.11401171

M3 - RGC 32 - Refereed conference paper (with host publication)

T3 - Conference Proceedings - IEEE International Conference on Energy Technologies for Future Grids, ETFG

BT - Conference Proceedings - 2025 IEEE International Conference on Energy Technologies for Future Grids (ETFG 2025)

PB - IEEE

T2 - 2025 IEEE International Conference on Energy Technologies for Future Grids (ETFG 2025)

Y2 - 7 December 2025 through 11 December 2025

ER -

Huang Z , Dong ZY , Tao Y, Lai S, Wang T, Zheng Z et al. A Dynamic Average Consensus-Based Distributed Control for DC Microgrids Using Virtual Power Tracking. In Conference Proceedings - 2025 IEEE International Conference on Energy Technologies for Future Grids (ETFG 2025). IEEE. 2025. (Conference Proceedings - IEEE International Conference on Energy Technologies for Future Grids, ETFG). doi: 10.1109/ETFG61999.2025.11401171

A Dynamic Average Consensus-Based Distributed Control for DC Microgrids Using Virtual Power Tracking

Abstract

Publication series

Conference

Funding

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this