A Decentralized Power Allocation Strategy for the EV Charging Network

Guibin Wang; Hairong Li; Huaizhi Wang; Xian Zhang; Feng Zhang

doi:10.1109/ISGT-Asia.2018.8467915

A Decentralized Power Allocation Strategy for the EV Charging Network

Guibin Wang
, Hairong Li
, Huaizhi Wang
, Xian Zhang
, Feng Zhang

Shenzhen University
Hong Kong Polytechnic University
Shandong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

nowadays, developing electric vehicles (EVs) is an important measure to reduce the greenhouse effect of the traditional transportation system. While the number of EVs growing rapidly, how to charge EVs efficiently attracts researchers' attention. Different from the traditional centralized charging power allocation, which is operated by a centralized control computer collecting all information and sending the commands to EVs, in this paper the decentralized power allocation strategy for EV charging network is proposed. Moreover, the centralized algorithm requires a high quality communication network, which cannot handle disturbances in communication like delays or packet losses. Therefore, the consensus algorithm is applied here to realize the efficiency and robust power allocation of the EV charging network in a decentralized fashion. The effectiveness of the proposed strategy has been fully investigated in three different cases.

Original language	English
Title of host publication	International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018
Editors	Quan Hao, Anurag Sharma
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1305-1310
Number of pages	6
ISBN (Electronic)	9781538642917
DOIs	https://doi.org/10.1109/ISGT-Asia.2018.8467915
State	Published - 18 Sep 2018
Externally published	Yes
Event	2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018 - Singapore, Singapore Duration: 22 May 2018 → 25 May 2018

Publication series

Name	International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018

Conference

Conference	2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018
Country/Territory	Singapore
City	Singapore
Period	22/05/18 → 25/05/18

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Electric vehicles
charging network
consensus algorithm

Access to Document

10.1109/ISGT-Asia.2018.8467915

Cite this

Wang, G., Li, H., Wang, H., Zhang, X., & Zhang, F. (2018). A Decentralized Power Allocation Strategy for the EV Charging Network. In Q. Hao, & A. Sharma (Eds.), International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018 (pp. 1305-1310). (International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT-Asia.2018.8467915

Wang, Guibin ; Li, Hairong ; Wang, Huaizhi et al. / A Decentralized Power Allocation Strategy for the EV Charging Network. International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018. editor / Quan Hao ; Anurag Sharma. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1305-1310 (International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018).

@inproceedings{1db8634099514d7d865b975f6b55fd0c,

title = "A Decentralized Power Allocation Strategy for the EV Charging Network",

abstract = "nowadays, developing electric vehicles (EVs) is an important measure to reduce the greenhouse effect of the traditional transportation system. While the number of EVs growing rapidly, how to charge EVs efficiently attracts researchers' attention. Different from the traditional centralized charging power allocation, which is operated by a centralized control computer collecting all information and sending the commands to EVs, in this paper the decentralized power allocation strategy for EV charging network is proposed. Moreover, the centralized algorithm requires a high quality communication network, which cannot handle disturbances in communication like delays or packet losses. Therefore, the consensus algorithm is applied here to realize the efficiency and robust power allocation of the EV charging network in a decentralized fashion. The effectiveness of the proposed strategy has been fully investigated in three different cases.",

keywords = "Electric vehicles, charging network, consensus algorithm",

author = "Guibin Wang and Hairong Li and Huaizhi Wang and Xian Zhang and Feng Zhang",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018 ; Conference date: 22-05-2018 Through 25-05-2018",

year = "2018",

month = sep,

day = "18",

doi = "10.1109/ISGT-Asia.2018.8467915",

language = "英语",

series = "International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1305--1310",

editor = "Quan Hao and Anurag Sharma",

booktitle = "International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018",

address = "美国",

}

Wang, G, Li, H, Wang, H, Zhang, X & Zhang, F 2018, A Decentralized Power Allocation Strategy for the EV Charging Network. in Q Hao & A Sharma (eds), International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018. International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1305-1310, 2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018, Singapore, Singapore, 22/05/18. https://doi.org/10.1109/ISGT-Asia.2018.8467915

A Decentralized Power Allocation Strategy for the EV Charging Network. / Wang, Guibin; Li, Hairong; Wang, Huaizhi et al.
International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018. ed. / Quan Hao; Anurag Sharma. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1305-1310 (International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Decentralized Power Allocation Strategy for the EV Charging Network

AU - Wang, Guibin

AU - Li, Hairong

AU - Wang, Huaizhi

AU - Zhang, Xian

AU - Zhang, Feng

PY - 2018/9/18

Y1 - 2018/9/18

N2 - nowadays, developing electric vehicles (EVs) is an important measure to reduce the greenhouse effect of the traditional transportation system. While the number of EVs growing rapidly, how to charge EVs efficiently attracts researchers' attention. Different from the traditional centralized charging power allocation, which is operated by a centralized control computer collecting all information and sending the commands to EVs, in this paper the decentralized power allocation strategy for EV charging network is proposed. Moreover, the centralized algorithm requires a high quality communication network, which cannot handle disturbances in communication like delays or packet losses. Therefore, the consensus algorithm is applied here to realize the efficiency and robust power allocation of the EV charging network in a decentralized fashion. The effectiveness of the proposed strategy has been fully investigated in three different cases.

AB - nowadays, developing electric vehicles (EVs) is an important measure to reduce the greenhouse effect of the traditional transportation system. While the number of EVs growing rapidly, how to charge EVs efficiently attracts researchers' attention. Different from the traditional centralized charging power allocation, which is operated by a centralized control computer collecting all information and sending the commands to EVs, in this paper the decentralized power allocation strategy for EV charging network is proposed. Moreover, the centralized algorithm requires a high quality communication network, which cannot handle disturbances in communication like delays or packet losses. Therefore, the consensus algorithm is applied here to realize the efficiency and robust power allocation of the EV charging network in a decentralized fashion. The effectiveness of the proposed strategy has been fully investigated in three different cases.

KW - Electric vehicles

KW - charging network

KW - consensus algorithm

UR - https://www.scopus.com/pages/publications/85055493374

U2 - 10.1109/ISGT-Asia.2018.8467915

DO - 10.1109/ISGT-Asia.2018.8467915

M3 - 会议稿件

AN - SCOPUS:85055493374

T3 - International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018

SP - 1305

EP - 1310

BT - International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018

A2 - Hao, Quan

A2 - Sharma, Anurag

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018

Y2 - 22 May 2018 through 25 May 2018

ER -

Wang G, Li H, Wang H, Zhang X, Zhang F. A Decentralized Power Allocation Strategy for the EV Charging Network. In Hao Q, Sharma A, editors, International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1305-1310. (International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018). doi: 10.1109/ISGT-Asia.2018.8467915

A Decentralized Power Allocation Strategy for the EV Charging Network

Abstract

Publication series

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UN SDGs

Keywords

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