The optimal EV charging/discharging strategy in smart grid from a perspective of sharing-economy

Chen Liu; Chaojie Li; Ke Deng; Long Xu; Xinghuo Yu

doi:10.1109/IECON.2017.8217313

The optimal EV charging/discharging strategy in smart grid from a perspective of sharing-economy

Chen Liu
, Chaojie Li
, Ke Deng
, Long Xu
, Xinghuo Yu

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

5 Citations (Scopus)

Abstract

There has been a desirable trend in recent years towards Electric Vehicles (EVs) contributing less air pollution and noise pollution than internal combustion engine vehicle. EV charging/discharging problem brings a new challenge to the power operation and control. In this paper, the charging/discharging problem is modelled by noncooperative game theory, the payoff function of this model not only maximizes the revenue of discharging activity, but also minimizes overall generation cost by decreasing electricity price on peak hours. The result of simulation illustrates that charging behaviors can shift the charging demand from peak hours to off-peak hours, while discharging behaviors can shave the peak loads in the parking periods. © 2017 IEEE.

Original language	English
Title of host publication	Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE
Pages	7497-7502
Volume	2017-January
ISBN (Print)	9781538611272
DOIs	https://doi.org/10.1109/IECON.2017.8217313
Publication status	Published - 15 Dec 2017
Externally published	Yes
Event	43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017) - China National Convention Center, Beijing, China Duration: 29 Oct 2017 → 1 Nov 2017 https://ieeexplore.ieee.org/xpl/conhome/8168197/proceeding

Publication series

Name	Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Volume	2017-January

Conference

Conference	43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017)
Place	China
City	Beijing
Period	29/10/17 → 1/11/17
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8168197/proceeding

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

Charging/Discharging
Electrical Vehicle
Game Theory
Sharing-Economy
Smart Grid

Access Output

10.1109/IECON.2017.8217313

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Cite this

Liu, C., Li, C., Deng, K., Xu, L., & Yu, X. (2017). The optimal EV charging/discharging strategy in smart grid from a perspective of sharing-economy. In Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society (Vol. 2017-January, pp. 7497-7502). (Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society; Vol. 2017-January). IEEE. https://doi.org/10.1109/IECON.2017.8217313

Liu, Chen ; Li, Chaojie ; Deng, Ke et al. / The optimal EV charging/discharging strategy in smart grid from a perspective of sharing-economy. Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. Vol. 2017-January IEEE, 2017. pp. 7497-7502 (Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society).

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abstract = "There has been a desirable trend in recent years towards Electric Vehicles (EVs) contributing less air pollution and noise pollution than internal combustion engine vehicle. EV charging/discharging problem brings a new challenge to the power operation and control. In this paper, the charging/discharging problem is modelled by noncooperative game theory, the payoff function of this model not only maximizes the revenue of discharging activity, but also minimizes overall generation cost by decreasing electricity price on peak hours. The result of simulation illustrates that charging behaviors can shift the charging demand from peak hours to off-peak hours, while discharging behaviors can shave the peak loads in the parking periods. {\textcopyright} 2017 IEEE.",

keywords = "Charging/Discharging, Electrical Vehicle, Game Theory, Sharing-Economy, Smart Grid",

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Liu, C, Li, C, Deng, K, Xu, L & Yu, X 2017, The optimal EV charging/discharging strategy in smart grid from a perspective of sharing-economy. in Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. vol. 2017-January, Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, vol. 2017-January, IEEE, pp. 7497-7502, 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017), Beijing, China, 29/10/17. https://doi.org/10.1109/IECON.2017.8217313

The optimal EV charging/discharging strategy in smart grid from a perspective of sharing-economy. / Liu, Chen; Li, Chaojie; Deng, Ke et al.
Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. Vol. 2017-January IEEE, 2017. p. 7497-7502 (Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society; Vol. 2017-January).

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

TY - GEN

T1 - The optimal EV charging/discharging strategy in smart grid from a perspective of sharing-economy

AU - Liu, Chen

AU - Li, Chaojie

AU - Deng, Ke

AU - Xu, Long

AU - Yu, Xinghuo

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 - 2017/12/15

Y1 - 2017/12/15

N2 - There has been a desirable trend in recent years towards Electric Vehicles (EVs) contributing less air pollution and noise pollution than internal combustion engine vehicle. EV charging/discharging problem brings a new challenge to the power operation and control. In this paper, the charging/discharging problem is modelled by noncooperative game theory, the payoff function of this model not only maximizes the revenue of discharging activity, but also minimizes overall generation cost by decreasing electricity price on peak hours. The result of simulation illustrates that charging behaviors can shift the charging demand from peak hours to off-peak hours, while discharging behaviors can shave the peak loads in the parking periods. © 2017 IEEE.

AB - There has been a desirable trend in recent years towards Electric Vehicles (EVs) contributing less air pollution and noise pollution than internal combustion engine vehicle. EV charging/discharging problem brings a new challenge to the power operation and control. In this paper, the charging/discharging problem is modelled by noncooperative game theory, the payoff function of this model not only maximizes the revenue of discharging activity, but also minimizes overall generation cost by decreasing electricity price on peak hours. The result of simulation illustrates that charging behaviors can shift the charging demand from peak hours to off-peak hours, while discharging behaviors can shave the peak loads in the parking periods. © 2017 IEEE.

KW - Charging/Discharging

KW - Electrical Vehicle

KW - Game Theory

KW - Sharing-Economy

KW - Smart Grid

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UR - https://www.scopus.com/pages/publications/85046623345#tab=impact

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DO - 10.1109/IECON.2017.8217313

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

SN - 9781538611272

VL - 2017-January

T3 - Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society

SP - 7497

EP - 7502

BT - Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE

T2 - 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017)

Y2 - 29 October 2017 through 1 November 2017

ER -

Liu C, Li C, Deng K, Xu L, Yu X. The optimal EV charging/discharging strategy in smart grid from a perspective of sharing-economy. In Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. Vol. 2017-January. IEEE. 2017. p. 7497-7502. (Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society). doi: 10.1109/IECON.2017.8217313

The optimal EV charging/discharging strategy in smart grid from a perspective of sharing-economy

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Research Keywords

Access Output

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