Consensus-driven distributed control of battery energy storage systems for loading management in distribution networks

Dongxiao Wang; Ke Meng; Xiaodan Gao; Guo Chen; Fengji Luo; Zhao Yang Dong

doi:10.1109/SmartGridComm.2016.7778843

Consensus-driven distributed control of battery energy storage systems for loading management in distribution networks

Dongxiao Wang
, Ke Meng
, Xiaodan Gao
, Guo Chen
, Fengji Luo
, Zhao Yang Dong

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

Abstract

With the electricity demand growing around the world, overloading is becoming a critical problem needed to be solved in distribution systems. Although renewable-based distributed generation methods are a good option, its intermittency and uncertainty should be addressed. This paper aims to provide an attempt to coordinate battery energy storage systems (BESSs) for loading management in distribution network with solar power energy penetration. Through limited communication, required load shedding is shared among participating BESSs. Communication topology variation is also studied in this research, which proves that communication network is playing a critical role in regulating distributed resources. Simulation results demonstrate the effectiveness of proposed control strategy. © 2016 IEEE.

Original language	English
Title of host publication	2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
Publisher	IEEE
Pages	699-704
ISBN (Print)	9781509040759
DOIs	https://doi.org/10.1109/SmartGridComm.2016.7778843
Publication status	Published - 8 Dec 2016
Externally published	Yes
Event	7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 - Sydney, Australia Duration: 6 Nov 2016 → 9 Nov 2016

Publication series

Name	2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016

Conference

Conference	7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
Place	Australia
City	Sydney
Period	6/11/16 → 9/11/16

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Research Keywords

battery energy storage system
consensus algorithm
Distributed control
loading management

Access Output

10.1109/SmartGridComm.2016.7778843

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

Wang, D., Meng, K., Gao, X., Chen, G., Luo, F., & Dong, Z. Y. (2016). Consensus-driven distributed control of battery energy storage systems for loading management in distribution networks. In 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 (pp. 699-704). Article 7778843 (2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016). IEEE. https://doi.org/10.1109/SmartGridComm.2016.7778843

@inproceedings{c8c13945e8cf445a89d4cb86b000c130,

title = "Consensus-driven distributed control of battery energy storage systems for loading management in distribution networks",

abstract = "With the electricity demand growing around the world, overloading is becoming a critical problem needed to be solved in distribution systems. Although renewable-based distributed generation methods are a good option, its intermittency and uncertainty should be addressed. This paper aims to provide an attempt to coordinate battery energy storage systems (BESSs) for loading management in distribution network with solar power energy penetration. Through limited communication, required load shedding is shared among participating BESSs. Communication topology variation is also studied in this research, which proves that communication network is playing a critical role in regulating distributed resources. Simulation results demonstrate the effectiveness of proposed control strategy. {\textcopyright} 2016 IEEE.",

keywords = "battery energy storage system, consensus algorithm, Distributed control, loading management",

author = "Dongxiao Wang and Ke Meng and Xiaodan Gao and Guo Chen and Fengji Luo and Dong, \{Zhao Yang\}",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; 7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 ; Conference date: 06-11-2016 Through 09-11-2016",

year = "2016",

month = dec,

day = "8",

doi = "10.1109/SmartGridComm.2016.7778843",

language = "English",

isbn = "9781509040759",

series = "2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016",

publisher = "IEEE",

pages = "699--704",

booktitle = "2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016",

address = "United States",

}

Wang, D, Meng, K, Gao, X, Chen, G, Luo, F & Dong, ZY 2016, Consensus-driven distributed control of battery energy storage systems for loading management in distribution networks. in 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016., 7778843, 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016, IEEE, pp. 699-704, 7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016, Sydney, Australia, 6/11/16. https://doi.org/10.1109/SmartGridComm.2016.7778843

Consensus-driven distributed control of battery energy storage systems for loading management in distribution networks. / Wang, Dongxiao; Meng, Ke; Gao, Xiaodan et al.
2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016. IEEE, 2016. p. 699-704 7778843 (2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016).

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

TY - GEN

T1 - Consensus-driven distributed control of battery energy storage systems for loading management in distribution networks

AU - Wang, Dongxiao

AU - Meng, Ke

AU - Gao, Xiaodan

AU - Chen, Guo

AU - Luo, Fengji

AU - Dong, Zhao Yang

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2016/12/8

Y1 - 2016/12/8

N2 - With the electricity demand growing around the world, overloading is becoming a critical problem needed to be solved in distribution systems. Although renewable-based distributed generation methods are a good option, its intermittency and uncertainty should be addressed. This paper aims to provide an attempt to coordinate battery energy storage systems (BESSs) for loading management in distribution network with solar power energy penetration. Through limited communication, required load shedding is shared among participating BESSs. Communication topology variation is also studied in this research, which proves that communication network is playing a critical role in regulating distributed resources. Simulation results demonstrate the effectiveness of proposed control strategy. © 2016 IEEE.

AB - With the electricity demand growing around the world, overloading is becoming a critical problem needed to be solved in distribution systems. Although renewable-based distributed generation methods are a good option, its intermittency and uncertainty should be addressed. This paper aims to provide an attempt to coordinate battery energy storage systems (BESSs) for loading management in distribution network with solar power energy penetration. Through limited communication, required load shedding is shared among participating BESSs. Communication topology variation is also studied in this research, which proves that communication network is playing a critical role in regulating distributed resources. Simulation results demonstrate the effectiveness of proposed control strategy. © 2016 IEEE.

KW - battery energy storage system

KW - consensus algorithm

KW - Distributed control

KW - loading management

UR - https://www.scopus.com/pages/publications/85010204690

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85010204690&origin=recordpage

U2 - 10.1109/SmartGridComm.2016.7778843

DO - 10.1109/SmartGridComm.2016.7778843

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

SN - 9781509040759

T3 - 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016

SP - 699

EP - 704

BT - 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016

PB - IEEE

T2 - 7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016

Y2 - 6 November 2016 through 9 November 2016

ER -

Wang D, Meng K, Gao X, Chen G, Luo F, Dong ZY. Consensus-driven distributed control of battery energy storage systems for loading management in distribution networks. In 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016. IEEE. 2016. p. 699-704. 7778843. (2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016). doi: 10.1109/SmartGridComm.2016.7778843

Consensus-driven distributed control of battery energy storage systems for loading management in distribution networks

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this