EV Benefit Evaluation in a Collaborative Scheduling Environment with Penalties for Unscheduled EVs

Vishu Gupta; Rajesh Kumar; K. Srikanth Reddy; B. K. Panigrahi

doi:10.1109/IICPE.2018.8709582

EV Benefit Evaluation in a Collaborative Scheduling Environment with Penalties for Unscheduled EVs

Vishu Gupta
, Rajesh Kumar
, K. Srikanth Reddy
, B. K. Panigrahi

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

7 Citations (Scopus)

Abstract

Electric Vehicle (EV) charging scheduling is a necessary aspect of everyday use of EVs. It may be addressed with respect to the grid, the service provider (aggregator) and the EV owner (customer). This paper presents a profit maximization collaborative multi-aggregator scheduling scheme which evaluates the customer benefits in two ways. The first is to propose an indicator that evaluates the impact of multi-aggregator collaboration on the EV charging cost. The second is to include a fine levied on the service provider as a consequence of EVs remaining unscheduled. A distributed approach is considered while performing a multi-aggregator collaborative scheduling. The results indicate that collaborative scheduling results in greater aggregator profits along with lowered EV charging costs. It was further observed that multi-aggregator collaboration results in fewer penalties due to unscheduled EVs, resulting in an increase in the total number of scheduled EVs and the aggregator profits.

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.2018.8709582
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

Charging Cost
Charging scheduling
Collaborative Scheduling
Electric Vehicle
Unscheduled Penalty

ASJC Scopus subject areas

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

Access to Document

10.1109/IICPE.2018.8709582

Cite this

Gupta, V., Kumar, R., Srikanth Reddy, K., & Panigrahi, B. K. (2018). EV Benefit Evaluation in a Collaborative Scheduling Environment with Penalties for Unscheduled EVs. In 8th IEEE India International Conference on Power Electronics, IICPE 2018 Article 8709582 (India International Conference on Power Electronics, IICPE; Vol. 2018-December). IEEE Computer Society. https://doi.org/10.1109/IICPE.2018.8709582

@inproceedings{b5dd2018653240f5bf25214894db1dd8,

title = "EV Benefit Evaluation in a Collaborative Scheduling Environment with Penalties for Unscheduled EVs",

abstract = "Electric Vehicle (EV) charging scheduling is a necessary aspect of everyday use of EVs. It may be addressed with respect to the grid, the service provider (aggregator) and the EV owner (customer). This paper presents a profit maximization collaborative multi-aggregator scheduling scheme which evaluates the customer benefits in two ways. The first is to propose an indicator that evaluates the impact of multi-aggregator collaboration on the EV charging cost. The second is to include a fine levied on the service provider as a consequence of EVs remaining unscheduled. A distributed approach is considered while performing a multi-aggregator collaborative scheduling. The results indicate that collaborative scheduling results in greater aggregator profits along with lowered EV charging costs. It was further observed that multi-aggregator collaboration results in fewer penalties due to unscheduled EVs, resulting in an increase in the total number of scheduled EVs and the aggregator profits.",

keywords = "Charging Cost, Charging scheduling, Collaborative Scheduling, Electric Vehicle, Unscheduled Penalty",

author = "Vishu Gupta and Rajesh Kumar and \{Srikanth Reddy\}, K. 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",

month = jul,

day = "2",

doi = "10.1109/IICPE.2018.8709582",

language = "English",

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

publisher = "IEEE Computer Society",

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address = "United States",

}

Gupta, V, Kumar, R, Srikanth Reddy, K & Panigrahi, BK 2018, EV Benefit Evaluation in a Collaborative Scheduling Environment with Penalties for Unscheduled EVs. in 8th IEEE India International Conference on Power Electronics, IICPE 2018., 8709582, 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.2018.8709582

EV Benefit Evaluation in a Collaborative Scheduling Environment with Penalties for Unscheduled EVs. / Gupta, Vishu; Kumar, Rajesh; Srikanth Reddy, K. et al.
8th IEEE India International Conference on Power Electronics, IICPE 2018. IEEE Computer Society, 2018. 8709582 (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 - EV Benefit Evaluation in a Collaborative Scheduling Environment with Penalties for Unscheduled EVs

AU - Gupta, Vishu

AU - Kumar, Rajesh

AU - Srikanth Reddy, K.

AU - Panigrahi, B. K.

PY - 2018/7/2

Y1 - 2018/7/2

N2 - Electric Vehicle (EV) charging scheduling is a necessary aspect of everyday use of EVs. It may be addressed with respect to the grid, the service provider (aggregator) and the EV owner (customer). This paper presents a profit maximization collaborative multi-aggregator scheduling scheme which evaluates the customer benefits in two ways. The first is to propose an indicator that evaluates the impact of multi-aggregator collaboration on the EV charging cost. The second is to include a fine levied on the service provider as a consequence of EVs remaining unscheduled. A distributed approach is considered while performing a multi-aggregator collaborative scheduling. The results indicate that collaborative scheduling results in greater aggregator profits along with lowered EV charging costs. It was further observed that multi-aggregator collaboration results in fewer penalties due to unscheduled EVs, resulting in an increase in the total number of scheduled EVs and the aggregator profits.

AB - Electric Vehicle (EV) charging scheduling is a necessary aspect of everyday use of EVs. It may be addressed with respect to the grid, the service provider (aggregator) and the EV owner (customer). This paper presents a profit maximization collaborative multi-aggregator scheduling scheme which evaluates the customer benefits in two ways. The first is to propose an indicator that evaluates the impact of multi-aggregator collaboration on the EV charging cost. The second is to include a fine levied on the service provider as a consequence of EVs remaining unscheduled. A distributed approach is considered while performing a multi-aggregator collaborative scheduling. The results indicate that collaborative scheduling results in greater aggregator profits along with lowered EV charging costs. It was further observed that multi-aggregator collaboration results in fewer penalties due to unscheduled EVs, resulting in an increase in the total number of scheduled EVs and the aggregator profits.

KW - Charging Cost

KW - Charging scheduling

KW - Collaborative Scheduling

KW - Electric Vehicle

KW - Unscheduled Penalty

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U2 - 10.1109/IICPE.2018.8709582

DO - 10.1109/IICPE.2018.8709582

M3 - Conference contribution

AN - SCOPUS:85065888052

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BT - 8th IEEE India International Conference on Power Electronics, IICPE 2018

PB - IEEE Computer Society

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ER -

EV Benefit Evaluation in a Collaborative Scheduling Environment with Penalties for Unscheduled EVs

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this