A semi-distributed V2V fast charging strategy based on price control

Miao Wang; Muhammad Ismail; Ran Zhang; Xuemin Sherman Shen; Erchin Serpedin; Khalid Qaraqe

doi:10.1109/GLOCOM.2014.7037525

A semi-distributed V2V fast charging strategy based on price control

Miao Wang, Muhammad Ismail, Ran Zhang, Xuemin Sherman Shen, Erchin Serpedin, Khalid Qaraqe

Research output: Contribution to journal › Conference article › peer-review

36 Citations (Scopus)

Abstract

A vehicle-to-vehicle (V2V) (dis)charging strategy can provide charging plans for gridable electric vehicles (GEVs), aiming to offload the heavy power loads from the electric power system. However, designing an efficient online V2V (dis)charging strategy to achieve optimal energy utilization is still an open issue. In this paper, we propose a semi-distributed online V2V (dis)charging strategy at a swapping station based on price control. Specifically, based on the electricity price control strategy, GEVs are motivated to contribute to a V2V energy transaction due to expected high revenue for discharging GEVs and low cost for charging GEVs. The Oligopoly game and Lagrange duality optimization techniques are exploited to address the associated optimal V2V (dis)charging strategies. Simulation results are presented to demonstrate the performance of the proposed V2V (dis)charging strategy.

Original language	English
Article number	7037525
Pages (from-to)	4550-4555
Number of pages	6
Journal	Proceedings - IEEE Global Communications Conference, GLOBECOM
DOIs	https://doi.org/10.1109/GLOCOM.2014.7037525
Publication status	Published - 2014
Externally published	Yes
Event	2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States Duration: 8 Dec 2014 → 12 Dec 2014

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10.1109/GLOCOM.2014.7037525

Cite this

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title = "A semi-distributed V2V fast charging strategy based on price control",

abstract = "A vehicle-to-vehicle (V2V) (dis)charging strategy can provide charging plans for gridable electric vehicles (GEVs), aiming to offload the heavy power loads from the electric power system. However, designing an efficient online V2V (dis)charging strategy to achieve optimal energy utilization is still an open issue. In this paper, we propose a semi-distributed online V2V (dis)charging strategy at a swapping station based on price control. Specifically, based on the electricity price control strategy, GEVs are motivated to contribute to a V2V energy transaction due to expected high revenue for discharging GEVs and low cost for charging GEVs. The Oligopoly game and Lagrange duality optimization techniques are exploited to address the associated optimal V2V (dis)charging strategies. Simulation results are presented to demonstrate the performance of the proposed V2V (dis)charging strategy.",

author = "Miao Wang and Muhammad Ismail and Ran Zhang and Shen, \{Xuemin Sherman\} and Erchin Serpedin and Khalid Qaraqe",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Global Communications Conference, GLOBECOM 2014 ; Conference date: 08-12-2014 Through 12-12-2014",

year = "2014",

doi = "10.1109/GLOCOM.2014.7037525",

language = "English",

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journal = "Proceedings - IEEE Global Communications Conference, GLOBECOM",

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T1 - A semi-distributed V2V fast charging strategy based on price control

AU - Wang, Miao

AU - Ismail, Muhammad

AU - Zhang, Ran

AU - Shen, Xuemin Sherman

AU - Serpedin, Erchin

AU - Qaraqe, Khalid

PY - 2014

Y1 - 2014

N2 - A vehicle-to-vehicle (V2V) (dis)charging strategy can provide charging plans for gridable electric vehicles (GEVs), aiming to offload the heavy power loads from the electric power system. However, designing an efficient online V2V (dis)charging strategy to achieve optimal energy utilization is still an open issue. In this paper, we propose a semi-distributed online V2V (dis)charging strategy at a swapping station based on price control. Specifically, based on the electricity price control strategy, GEVs are motivated to contribute to a V2V energy transaction due to expected high revenue for discharging GEVs and low cost for charging GEVs. The Oligopoly game and Lagrange duality optimization techniques are exploited to address the associated optimal V2V (dis)charging strategies. Simulation results are presented to demonstrate the performance of the proposed V2V (dis)charging strategy.

AB - A vehicle-to-vehicle (V2V) (dis)charging strategy can provide charging plans for gridable electric vehicles (GEVs), aiming to offload the heavy power loads from the electric power system. However, designing an efficient online V2V (dis)charging strategy to achieve optimal energy utilization is still an open issue. In this paper, we propose a semi-distributed online V2V (dis)charging strategy at a swapping station based on price control. Specifically, based on the electricity price control strategy, GEVs are motivated to contribute to a V2V energy transaction due to expected high revenue for discharging GEVs and low cost for charging GEVs. The Oligopoly game and Lagrange duality optimization techniques are exploited to address the associated optimal V2V (dis)charging strategies. Simulation results are presented to demonstrate the performance of the proposed V2V (dis)charging strategy.

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DO - 10.1109/GLOCOM.2014.7037525

M3 - Conference article

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EP - 4555

JO - Proceedings - IEEE Global Communications Conference, GLOBECOM

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M1 - 7037525

T2 - 2014 IEEE Global Communications Conference, GLOBECOM 2014

Y2 - 8 December 2014 through 12 December 2014

ER -

A semi-distributed V2V fast charging strategy based on price control

Abstract

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