Quality of service guaranteed flexibility harvesting from electric vehicles: A game theoretic approach

Xiaochuan Liu; Tianyang Zhao; Cheong Boon Soh; Peng Wang

doi:10.1109/PESGM41954.2020.9281791

Quality of service guaranteed flexibility harvesting from electric vehicles: A game theoretic approach

Xiaochuan Liu
, Tianyang Zhao
, Cheong Boon Soh
, Peng Wang

School of Electrical Engineering

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

4 Scopus citations

Abstract

Rapid development of electric vehicles (EVs) is making them a promising demand response resource in the electricity market. To harvest the flexibility of EVs to smart grids, a game-theoretic quality of service (QoS) guaranteed scheme is proposed. QoS requirements of EVs are formulated by using network calculus, where the charging and discharging process of an EV are modeled as the arrival and departure of energy flows. In addition, the departure curve and minimal departure curve in network calculus have been extended to consider the discharging behavior of EVs. With QoS requirements, each EV optimizes its charging and discharging schedule to maximize its utility, while considering the schedules of other EVs. The flexibility harvesting of EVs is formulated as a Nash game, which possesses a unique Nash equilibrium (NE). To compute the NE, a strategy-proof and privacy-preserving distributed algorithm is proposed. Finally, simulation results are presented to verify the feasibility and efficiency of the proposed scheme.

Original language	English
Title of host publication	2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728155081
DOIs	https://doi.org/10.1109/PESGM41954.2020.9281791
State	Published - 2 Aug 2020
Event	2020 IEEE Power and Energy Society General Meeting, PESGM 2020 - Montreal, Canada Duration: 2 Aug 2020 → 6 Aug 2020

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2020-August
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Country/Territory	Canada
City	Montreal
Period	2/08/20 → 6/08/20

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Demand response
Electric vehicle
Game theory
Nash equilibrium
Quality of service

Access to Document

10.1109/PESGM41954.2020.9281791

Cite this

Liu, X., Zhao, T., Soh, C. B., & Wang, P. (2020). Quality of service guaranteed flexibility harvesting from electric vehicles: A game theoretic approach. In 2020 IEEE Power and Energy Society General Meeting, PESGM 2020 Article 9281791 (IEEE Power and Energy Society General Meeting; Vol. 2020-August). IEEE Computer Society. https://doi.org/10.1109/PESGM41954.2020.9281791

@inproceedings{5a73d04d92854cd588b24078b11ae1cf,

title = "Quality of service guaranteed flexibility harvesting from electric vehicles: A game theoretic approach",

abstract = "Rapid development of electric vehicles (EVs) is making them a promising demand response resource in the electricity market. To harvest the flexibility of EVs to smart grids, a game-theoretic quality of service (QoS) guaranteed scheme is proposed. QoS requirements of EVs are formulated by using network calculus, where the charging and discharging process of an EV are modeled as the arrival and departure of energy flows. In addition, the departure curve and minimal departure curve in network calculus have been extended to consider the discharging behavior of EVs. With QoS requirements, each EV optimizes its charging and discharging schedule to maximize its utility, while considering the schedules of other EVs. The flexibility harvesting of EVs is formulated as a Nash game, which possesses a unique Nash equilibrium (NE). To compute the NE, a strategy-proof and privacy-preserving distributed algorithm is proposed. Finally, simulation results are presented to verify the feasibility and efficiency of the proposed scheme.",

keywords = "Demand response, Electric vehicle, Game theory, Nash equilibrium, Quality of service",

author = "Xiaochuan Liu and Tianyang Zhao and Soh, \{Cheong Boon\} and Peng Wang",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Power and Energy Society General Meeting, PESGM 2020 ; Conference date: 02-08-2020 Through 06-08-2020",

year = "2020",

month = aug,

day = "2",

doi = "10.1109/PESGM41954.2020.9281791",

language = "英语",

series = "IEEE Power and Energy Society General Meeting",

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Liu, X, Zhao, T, Soh, CB & Wang, P 2020, Quality of service guaranteed flexibility harvesting from electric vehicles: A game theoretic approach. in 2020 IEEE Power and Energy Society General Meeting, PESGM 2020., 9281791, IEEE Power and Energy Society General Meeting, vol. 2020-August, IEEE Computer Society, 2020 IEEE Power and Energy Society General Meeting, PESGM 2020, Montreal, Canada, 2/08/20. https://doi.org/10.1109/PESGM41954.2020.9281791

Quality of service guaranteed flexibility harvesting from electric vehicles: A game theoretic approach. / Liu, Xiaochuan; Zhao, Tianyang; Soh, Cheong Boon et al.
2020 IEEE Power and Energy Society General Meeting, PESGM 2020. IEEE Computer Society, 2020. 9281791 (IEEE Power and Energy Society General Meeting; Vol. 2020-August).

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

TY - GEN

T1 - Quality of service guaranteed flexibility harvesting from electric vehicles

T2 - 2020 IEEE Power and Energy Society General Meeting, PESGM 2020

AU - Liu, Xiaochuan

AU - Zhao, Tianyang

AU - Soh, Cheong Boon

AU - Wang, Peng

PY - 2020/8/2

Y1 - 2020/8/2

N2 - Rapid development of electric vehicles (EVs) is making them a promising demand response resource in the electricity market. To harvest the flexibility of EVs to smart grids, a game-theoretic quality of service (QoS) guaranteed scheme is proposed. QoS requirements of EVs are formulated by using network calculus, where the charging and discharging process of an EV are modeled as the arrival and departure of energy flows. In addition, the departure curve and minimal departure curve in network calculus have been extended to consider the discharging behavior of EVs. With QoS requirements, each EV optimizes its charging and discharging schedule to maximize its utility, while considering the schedules of other EVs. The flexibility harvesting of EVs is formulated as a Nash game, which possesses a unique Nash equilibrium (NE). To compute the NE, a strategy-proof and privacy-preserving distributed algorithm is proposed. Finally, simulation results are presented to verify the feasibility and efficiency of the proposed scheme.

AB - Rapid development of electric vehicles (EVs) is making them a promising demand response resource in the electricity market. To harvest the flexibility of EVs to smart grids, a game-theoretic quality of service (QoS) guaranteed scheme is proposed. QoS requirements of EVs are formulated by using network calculus, where the charging and discharging process of an EV are modeled as the arrival and departure of energy flows. In addition, the departure curve and minimal departure curve in network calculus have been extended to consider the discharging behavior of EVs. With QoS requirements, each EV optimizes its charging and discharging schedule to maximize its utility, while considering the schedules of other EVs. The flexibility harvesting of EVs is formulated as a Nash game, which possesses a unique Nash equilibrium (NE). To compute the NE, a strategy-proof and privacy-preserving distributed algorithm is proposed. Finally, simulation results are presented to verify the feasibility and efficiency of the proposed scheme.

KW - Demand response

KW - Electric vehicle

KW - Game theory

KW - Nash equilibrium

KW - Quality of service

UR - https://www.scopus.com/pages/publications/85099159311

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DO - 10.1109/PESGM41954.2020.9281791

M3 - 会议稿件

AN - SCOPUS:85099159311

T3 - IEEE Power and Energy Society General Meeting

BT - 2020 IEEE Power and Energy Society General Meeting, PESGM 2020

PB - IEEE Computer Society

Y2 - 2 August 2020 through 6 August 2020

ER -

Quality of service guaranteed flexibility harvesting from electric vehicles: A game theoretic approach

Abstract

Publication series

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UN SDGs

Keywords

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