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  • Power Interchange Analysis

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Power Interchange Analysis for Reliable Vehicle-to-Grid Connectivity

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Power Interchange Analysis for Reliable Vehicle-to-Grid Connectivity. / Al-Rubaye, S.; Al-Dulaimi, A.; Ni, Q.
In: IEEE Communications Magazine, Vol. 57, No. 8, 8808171, 21.08.2019, p. 105-111.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Al-Rubaye, S, Al-Dulaimi, A & Ni, Q 2019, 'Power Interchange Analysis for Reliable Vehicle-to-Grid Connectivity', IEEE Communications Magazine, vol. 57, no. 8, 8808171, pp. 105-111. https://doi.org/10.1109/MCOM.2019.1800657

APA

Al-Rubaye, S., Al-Dulaimi, A., & Ni, Q. (2019). Power Interchange Analysis for Reliable Vehicle-to-Grid Connectivity. IEEE Communications Magazine, 57(8), 105-111. Article 8808171. https://doi.org/10.1109/MCOM.2019.1800657

Vancouver

Al-Rubaye S, Al-Dulaimi A, Ni Q. Power Interchange Analysis for Reliable Vehicle-to-Grid Connectivity. IEEE Communications Magazine. 2019 Aug 21;57(8):105-111. 8808171. doi: 10.1109/MCOM.2019.1800657

Author

Al-Rubaye, S. ; Al-Dulaimi, A. ; Ni, Q. / Power Interchange Analysis for Reliable Vehicle-to-Grid Connectivity. In: IEEE Communications Magazine. 2019 ; Vol. 57, No. 8. pp. 105-111.

Bibtex

@article{b1170f5a671b47e592e3de37ad040148,
title = "Power Interchange Analysis for Reliable Vehicle-to-Grid Connectivity",
abstract = "Due to the progressively growing energy demand, electric! vehicles (EVs) are increasingly replacing unfashionable vehicles equipped with internal combustion engines. The new era of modern grid is aiming to unlock the possibility of resource coordination between EVs and power grid. The goal of including vehicle-to-grid (V2G) technology is to enable shared access to power resources. To define the initiative, this article investigates the bidirectional power flow between EVs and the main grid. The article provides a new algorithm framework for energy optimization that enables real-time decision making to facilitate charge/discharge processes in grid connected mode. Accordingly, the energy flow optimization, communications for data exchange, and local controller are joined to support system reliability for both power grid and EV owners at parking lot sites. The local controller is the key component that collects the EV data for decision making through real-time communications with EV platforms. The main responsibility of this controller is managing the energy flow during the process of real-time charging without impacting the basic functionalities of both grid and EV systems. Finally, a case study of a modified IEEE 13-node test feeder is proposed to validate the impact of energy flow optimization using V2G technology. This visionary concept provides improvement in grid scalability and reliability to grid operations through accessing EV power storage as a complementary resource of future energy systems.",
author = "S. Al-Rubaye and A. Al-Dulaimi and Q. Ni",
note = "{\textcopyright}2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2019",
month = aug,
day = "21",
doi = "10.1109/MCOM.2019.1800657",
language = "English",
volume = "57",
pages = "105--111",
journal = "IEEE Communications Magazine",
issn = "0163-6804",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "8",

}

RIS

TY - JOUR

T1 - Power Interchange Analysis for Reliable Vehicle-to-Grid Connectivity

AU - Al-Rubaye, S.

AU - Al-Dulaimi, A.

AU - Ni, Q.

N1 - ©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2019/8/21

Y1 - 2019/8/21

N2 - Due to the progressively growing energy demand, electric! vehicles (EVs) are increasingly replacing unfashionable vehicles equipped with internal combustion engines. The new era of modern grid is aiming to unlock the possibility of resource coordination between EVs and power grid. The goal of including vehicle-to-grid (V2G) technology is to enable shared access to power resources. To define the initiative, this article investigates the bidirectional power flow between EVs and the main grid. The article provides a new algorithm framework for energy optimization that enables real-time decision making to facilitate charge/discharge processes in grid connected mode. Accordingly, the energy flow optimization, communications for data exchange, and local controller are joined to support system reliability for both power grid and EV owners at parking lot sites. The local controller is the key component that collects the EV data for decision making through real-time communications with EV platforms. The main responsibility of this controller is managing the energy flow during the process of real-time charging without impacting the basic functionalities of both grid and EV systems. Finally, a case study of a modified IEEE 13-node test feeder is proposed to validate the impact of energy flow optimization using V2G technology. This visionary concept provides improvement in grid scalability and reliability to grid operations through accessing EV power storage as a complementary resource of future energy systems.

AB - Due to the progressively growing energy demand, electric! vehicles (EVs) are increasingly replacing unfashionable vehicles equipped with internal combustion engines. The new era of modern grid is aiming to unlock the possibility of resource coordination between EVs and power grid. The goal of including vehicle-to-grid (V2G) technology is to enable shared access to power resources. To define the initiative, this article investigates the bidirectional power flow between EVs and the main grid. The article provides a new algorithm framework for energy optimization that enables real-time decision making to facilitate charge/discharge processes in grid connected mode. Accordingly, the energy flow optimization, communications for data exchange, and local controller are joined to support system reliability for both power grid and EV owners at parking lot sites. The local controller is the key component that collects the EV data for decision making through real-time communications with EV platforms. The main responsibility of this controller is managing the energy flow during the process of real-time charging without impacting the basic functionalities of both grid and EV systems. Finally, a case study of a modified IEEE 13-node test feeder is proposed to validate the impact of energy flow optimization using V2G technology. This visionary concept provides improvement in grid scalability and reliability to grid operations through accessing EV power storage as a complementary resource of future energy systems.

U2 - 10.1109/MCOM.2019.1800657

DO - 10.1109/MCOM.2019.1800657

M3 - Journal article

VL - 57

SP - 105

EP - 111

JO - IEEE Communications Magazine

JF - IEEE Communications Magazine

SN - 0163-6804

IS - 8

M1 - 8808171

ER -