Customer Oriented Electric Vehicle Charging Scheduling in Day-ahead Market Via Aggregative Game Model

Mukesh Kumar; Vishu Gupta; Rajesh Kumar; B. K. Panigrahi

doi:10.1109/IICPE.2018.8709412

Customer Oriented Electric Vehicle Charging Scheduling in Day-ahead Market Via Aggregative Game Model

Mukesh Kumar
, Vishu Gupta
, Rajesh Kumar
, B. K. Panigrahi

Energy and Resource Institute
Malaviya National Institute of Technology
Indian Institute of Technology Delhi

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

5 Citations (Scopus)

Abstract

The use of electric vehicles (EVs) are increasing in the transportation world. In the electricity market, if a large number of EVs are connected in the power system, but the EVs charging power demand is scheduled appropriately, then the EV owners, as well as the grid, will make the profit. This work focuses on customer-oriented EV charging in the day-ahead market with the objective of reducing the charging cost for EV owners while also considering the impact on spot prices of EV demand in the day-ahead market. An aggregative game has been proposed for satisfying the EVs charging demand in the dayahead electricity market. In the day-ahead aggregative game approach, we formulate the energy charging problem where each EV chooses its own demand strategy to maximize its own benefit selfishly while taking into account the strategies of other EVs. The Nash equilibrium(NE) for the proposed game model has been proved.

Original language	English
Title of host publication	8th IEEE India International Conference on Power Electronics, IICPE 2018
Publisher	IEEE Computer Society
ISBN (Electronic)	9781538649961
DOIs	https://doi.org/10.1109/IICPE.2018.8709412
Publication status	Published - 2 Jul 2018
Externally published	Yes
Event	8th IEEE India International Conference on Power Electronics, IICPE 2018 - Jaipur, India Duration: 13 Dec 2018 → 15 Dec 2018

Publication series

Name	India International Conference on Power Electronics, IICPE
Volume	2018-December
ISSN (Print)	2160-3162
ISSN (Electronic)	2160-3170

Conference

Conference	8th IEEE India International Conference on Power Electronics, IICPE 2018
Country/Territory	India
City	Jaipur
Period	13/12/18 → 15/12/18

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Aggregative game
Charging scheduling
Day-ahead market
Game theory
Spot price

ASJC Scopus subject areas

Energy Engineering and Power Technology
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/IICPE.2018.8709412

Cite this

Kumar, M., Gupta, V., Kumar, R., & Panigrahi, B. K. (2018). Customer Oriented Electric Vehicle Charging Scheduling in Day-ahead Market Via Aggregative Game Model. In 8th IEEE India International Conference on Power Electronics, IICPE 2018 Article 8709412 (India International Conference on Power Electronics, IICPE; Vol. 2018-December). IEEE Computer Society. https://doi.org/10.1109/IICPE.2018.8709412

@inproceedings{ce323841287b4f84ab77965140440096,

title = "Customer Oriented Electric Vehicle Charging Scheduling in Day-ahead Market Via Aggregative Game Model",

abstract = "The use of electric vehicles (EVs) are increasing in the transportation world. In the electricity market, if a large number of EVs are connected in the power system, but the EVs charging power demand is scheduled appropriately, then the EV owners, as well as the grid, will make the profit. This work focuses on customer-oriented EV charging in the day-ahead market with the objective of reducing the charging cost for EV owners while also considering the impact on spot prices of EV demand in the day-ahead market. An aggregative game has been proposed for satisfying the EVs charging demand in the dayahead electricity market. In the day-ahead aggregative game approach, we formulate the energy charging problem where each EV chooses its own demand strategy to maximize its own benefit selfishly while taking into account the strategies of other EVs. The Nash equilibrium(NE) for the proposed game model has been proved.",

keywords = "Aggregative game, Charging scheduling, Day-ahead market, Game theory, Spot price",

author = "Mukesh Kumar and Vishu Gupta and Rajesh Kumar and Panigrahi, \{B. K.\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 8th IEEE India International Conference on Power Electronics, IICPE 2018 ; Conference date: 13-12-2018 Through 15-12-2018",

year = "2018",

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doi = "10.1109/IICPE.2018.8709412",

language = "English",

series = "India International Conference on Power Electronics, IICPE",

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Kumar, M, Gupta, V, Kumar, R & Panigrahi, BK 2018, Customer Oriented Electric Vehicle Charging Scheduling in Day-ahead Market Via Aggregative Game Model. in 8th IEEE India International Conference on Power Electronics, IICPE 2018., 8709412, India International Conference on Power Electronics, IICPE, vol. 2018-December, IEEE Computer Society, 8th IEEE India International Conference on Power Electronics, IICPE 2018, Jaipur, India, 13/12/18. https://doi.org/10.1109/IICPE.2018.8709412

Customer Oriented Electric Vehicle Charging Scheduling in Day-ahead Market Via Aggregative Game Model. / Kumar, Mukesh; Gupta, Vishu; Kumar, Rajesh et al.
8th IEEE India International Conference on Power Electronics, IICPE 2018. IEEE Computer Society, 2018. 8709412 (India International Conference on Power Electronics, IICPE; Vol. 2018-December).

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

TY - GEN

T1 - Customer Oriented Electric Vehicle Charging Scheduling in Day-ahead Market Via Aggregative Game Model

AU - Kumar, Mukesh

AU - Gupta, Vishu

AU - Kumar, Rajesh

AU - Panigrahi, B. K.

PY - 2018/7/2

Y1 - 2018/7/2

N2 - The use of electric vehicles (EVs) are increasing in the transportation world. In the electricity market, if a large number of EVs are connected in the power system, but the EVs charging power demand is scheduled appropriately, then the EV owners, as well as the grid, will make the profit. This work focuses on customer-oriented EV charging in the day-ahead market with the objective of reducing the charging cost for EV owners while also considering the impact on spot prices of EV demand in the day-ahead market. An aggregative game has been proposed for satisfying the EVs charging demand in the dayahead electricity market. In the day-ahead aggregative game approach, we formulate the energy charging problem where each EV chooses its own demand strategy to maximize its own benefit selfishly while taking into account the strategies of other EVs. The Nash equilibrium(NE) for the proposed game model has been proved.

AB - The use of electric vehicles (EVs) are increasing in the transportation world. In the electricity market, if a large number of EVs are connected in the power system, but the EVs charging power demand is scheduled appropriately, then the EV owners, as well as the grid, will make the profit. This work focuses on customer-oriented EV charging in the day-ahead market with the objective of reducing the charging cost for EV owners while also considering the impact on spot prices of EV demand in the day-ahead market. An aggregative game has been proposed for satisfying the EVs charging demand in the dayahead electricity market. In the day-ahead aggregative game approach, we formulate the energy charging problem where each EV chooses its own demand strategy to maximize its own benefit selfishly while taking into account the strategies of other EVs. The Nash equilibrium(NE) for the proposed game model has been proved.

KW - Aggregative game

KW - Charging scheduling

KW - Day-ahead market

KW - Game theory

KW - Spot price

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DO - 10.1109/IICPE.2018.8709412

M3 - Conference contribution

AN - SCOPUS:85065879598

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PB - IEEE Computer Society

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ER -

Customer Oriented Electric Vehicle Charging Scheduling in Day-ahead Market Via Aggregative Game Model

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this