Optimal Day Ahead Scheduling for Plug-in Electric Vehicles in an Industrial Microgrid Based on V2G System

Sid Ali Amamra; Kai Shi; Truong Quang Dinh; James Marco

doi:10.1109/ICMECT.2019.8932121

Optimal Day Ahead Scheduling for Plug-in Electric Vehicles in an Industrial Microgrid Based on V2G System

Sid Ali Amamra, Kai Shi, Truong Quang Dinh, James Marco

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

5 Citations (Scopus)

Abstract

With the increasing amount of electric vehicles (EVs), Vehicle to Grid (V2G) technology has attracted enormous attention from researchers and industries. The major benefit of using V2G is to enable the interaction between EVs and grid. For example, EV batteries can work as responsive sources to provide auxiliary support to a power grid. This paper presents an optimal day-ahead scheduling strategy for a fleet of EVs plugged-in to the grid using V2G operation. Here, lithium-ion EV batteries are managed to reduce peak load constrains in a microgrid and to reduce energy bill. The proposed scheduling scheme is computed based on a linearized model of the lithium-ion battery with an optimization approach considering battery and grid constraints. A case study with an industrial microgrid application is carried out by simulations, to prove the advantages of the proposed technique.

Original language	English
Title of host publication	2019 23rd International Conference on Mechatronics Technology, ICMT
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	5
ISBN (Electronic)	9781728139982
ISBN (Print)	9781728139999
DOIs	https://doi.org/10.1109/ICMECT.2019.8932121
Publication status	Published - 16 Dec 2019
Externally published	Yes
Event	23rd International Conference on Mechatronics Technology - Salerno, Italy Duration: 23 Oct 2019 → 26 Oct 2019 Conference number: 23 http://www.icmt2019.org/

Conference

Conference	23rd International Conference on Mechatronics Technology
Abbreviated title	ICMT 2019
Country/Territory	Italy
City	Salerno
Period	23/10/19 → 26/10/19
Internet address	http://www.icmt2019.org/

UN SDGs

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

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10.1109/ICMECT.2019.8932121Licence: Unspecified

Cite this

@inproceedings{a546263ee09b4284b417a1229132cfd1,

title = "Optimal Day Ahead Scheduling for Plug-in Electric Vehicles in an Industrial Microgrid Based on V2G System",

abstract = "With the increasing amount of electric vehicles (EVs), Vehicle to Grid (V2G) technology has attracted enormous attention from researchers and industries. The major benefit of using V2G is to enable the interaction between EVs and grid. For example, EV batteries can work as responsive sources to provide auxiliary support to a power grid. This paper presents an optimal day-ahead scheduling strategy for a fleet of EVs plugged-in to the grid using V2G operation. Here, lithium-ion EV batteries are managed to reduce peak load constrains in a microgrid and to reduce energy bill. The proposed scheduling scheme is computed based on a linearized model of the lithium-ion battery with an optimization approach considering battery and grid constraints. A case study with an industrial microgrid application is carried out by simulations, to prove the advantages of the proposed technique.",

keywords = "Day-Ahead Optimal scheduling, Electric Vehicle, Energy Management System, Industrial Microgrid, Smart Grid, Vehicle to Grid",

author = "Amamra, {Sid Ali} and Kai Shi and Dinh, {Truong Quang} and James Marco",

year = "2019",

month = dec,

day = "16",

doi = "10.1109/ICMECT.2019.8932121",

language = "English",

isbn = "9781728139999",

booktitle = "2019 23rd International Conference on Mechatronics Technology, ICMT",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "23rd International Conference on Mechatronics Technology, ICMT 2019 ; Conference date: 23-10-2019 Through 26-10-2019",

url = "http://www.icmt2019.org/",

}

Amamra, SA, Shi, K, Dinh, TQ & Marco, J 2019, Optimal Day Ahead Scheduling for Plug-in Electric Vehicles in an Industrial Microgrid Based on V2G System. in 2019 23rd International Conference on Mechatronics Technology, ICMT., 8932121, Institute of Electrical and Electronics Engineers Inc., 23rd International Conference on Mechatronics Technology, Salerno, Italy, 23/10/19. https://doi.org/10.1109/ICMECT.2019.8932121

Optimal Day Ahead Scheduling for Plug-in Electric Vehicles in an Industrial Microgrid Based on V2G System. / Amamra, Sid Ali; Shi, Kai; Dinh, Truong Quang et al.

2019 23rd International Conference on Mechatronics Technology, ICMT. Institute of Electrical and Electronics Engineers Inc., 2019. 8932121.

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

TY - GEN

T1 - Optimal Day Ahead Scheduling for Plug-in Electric Vehicles in an Industrial Microgrid Based on V2G System

AU - Amamra, Sid Ali

AU - Shi, Kai

AU - Dinh, Truong Quang

AU - Marco, James

N1 - Conference code: 23

PY - 2019/12/16

Y1 - 2019/12/16

N2 - With the increasing amount of electric vehicles (EVs), Vehicle to Grid (V2G) technology has attracted enormous attention from researchers and industries. The major benefit of using V2G is to enable the interaction between EVs and grid. For example, EV batteries can work as responsive sources to provide auxiliary support to a power grid. This paper presents an optimal day-ahead scheduling strategy for a fleet of EVs plugged-in to the grid using V2G operation. Here, lithium-ion EV batteries are managed to reduce peak load constrains in a microgrid and to reduce energy bill. The proposed scheduling scheme is computed based on a linearized model of the lithium-ion battery with an optimization approach considering battery and grid constraints. A case study with an industrial microgrid application is carried out by simulations, to prove the advantages of the proposed technique.

AB - With the increasing amount of electric vehicles (EVs), Vehicle to Grid (V2G) technology has attracted enormous attention from researchers and industries. The major benefit of using V2G is to enable the interaction between EVs and grid. For example, EV batteries can work as responsive sources to provide auxiliary support to a power grid. This paper presents an optimal day-ahead scheduling strategy for a fleet of EVs plugged-in to the grid using V2G operation. Here, lithium-ion EV batteries are managed to reduce peak load constrains in a microgrid and to reduce energy bill. The proposed scheduling scheme is computed based on a linearized model of the lithium-ion battery with an optimization approach considering battery and grid constraints. A case study with an industrial microgrid application is carried out by simulations, to prove the advantages of the proposed technique.

KW - Day-Ahead Optimal scheduling

KW - Electric Vehicle

KW - Energy Management System

KW - Industrial Microgrid

KW - Smart Grid

KW - Vehicle to Grid

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U2 - 10.1109/ICMECT.2019.8932121

DO - 10.1109/ICMECT.2019.8932121

M3 - Conference contribution

AN - SCOPUS:85077961800

SN - 9781728139999

BT - 2019 23rd International Conference on Mechatronics Technology, ICMT

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 23rd International Conference on Mechatronics Technology

Y2 - 23 October 2019 through 26 October 2019

ER -

Optimal Day Ahead Scheduling for Plug-in Electric Vehicles in an Industrial Microgrid Based on V2G System

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