column

RealTime distributed congestion control for electrical vehicle charging

Authors:

O. Ardakanian,

C. Rosenberg,

S. KeshavAuthors Info & Claims

ACM SIGMETRICS Performance Evaluation Review, Volume 40, Issue 3

Pages 38 - 42

https://doi.org/10.1145/2425248.2425257

Published: 04 January 2012 Publication History

Get Access

Abstract

The significant load and unpredictable mobility of electric vehicles (EVs) makes them a challenge for grid distribution systems. Unlike most current approaches to control EV charging, which construct optimal charging schedules by predicting EV state of charge and future behaviour, we leverage the anticipated widespread deployment of measurement and control points to propose an alternative vision. In our approach, drawing from a comparative analysis of Internet and distribution grid congestion, control actions taken by a charger every few milliseconds in response to congestion signals allow it to rapidly reduce its charging rate to avoid grid congestion. We sketch three control schemes that embody this vision and compare their relative merits and demerits.

References

[1]

C. Ahn, C.-T. Li, and H. Peng. Optimal decentralized charging control algorithm for electrified vehicles connected to smart grid. Journal of Power Sources, 196(23):10369--10379, 2011.

Crossref

Google Scholar

[2]

D. Bansal and H. Balakrishnan. Binomial congestion control algorithms. In INFOCOM '01, volume 2, pages 631--640. IEEE, 2001.

Crossref

Google Scholar

[3]

A. G. Boulanger, A. C. Chu, S. Maxx, and D. L. Waltz. Vehicle Electrification: Status and Issues. Proceedings of the IEEE, 99(6):1116--1138, 2011.

Google Scholar

[4]

R. Brown. Impact of smart grid on distribution system design. In Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, pages 1--4. IEEE, 2008.

Crossref

Google Scholar

[5]

W. Eddy and M. Welzl. Congestion control in the RFC series. http://tools.ietf.org/html/rfc5783, 2010.

Google Scholar

[6]

EPRI. Impact of plug-in hybrid electric vehicles on utility distribution. Technical Report, 2009.

Google Scholar

[7]

T. Ganu, J. Hazra, D. P. Seetharam, S. A. Husain, V. Arya, L. C. De Silva, R. Kunnath, and S. Kalyanaraman. nPlug: a smart plug for alleviating peak loads. In e-Energy '12. ACM, 2012.

Digital Library

Google Scholar

[8]

X. Gong, T. Lin, and B. Su. Survey on the impact of electric vehicles on power distribution grid. In Power Engineering and Automation Conference (PEAM), volume 2, pages 553--557. IEEE, 2011.

Google Scholar

[9]

J. Jaffe. Bottleneck ow control. Communications, IEEE Transactions on, 29(7):954--962, 1981.

Crossref

Google Scholar

[10]

D. Katabi, M. Handley, and C. Rohrs. Congestion control for high bandwidth-delay product networks. In SIGCOMM '02, pages 89--102. ACM, 2002.

Digital Library

Google Scholar

[11]

J. Wang, D. Wei, and S. Low. Modelling and stability of FAST TCP. In INFOCOM '05, volume 2, pages 938--948. IEEE, 2005.

Google Scholar

Cited By

View all

Sun LChen YLi WDeng Q(2021)Charging stations‐oriented electric vehicle charging strategy based on battery characteristicsSoftware: Practice and Experience10.1002/spe.298051:11(2168-2184)Online publication date: 6-May-2021
https://doi.org/10.1002/spe.2980
AKIL MDOKUR EBAYINDIR R(2020)Energy Management for EV Charging Based on Solar Energy in an Industrial Microgrid2020 9th International Conference on Renewable Energy Research and Application (ICRERA)10.1109/ICRERA49962.2020.9242663(489-493)Online publication date: 27-Sep-2020
https://doi.org/10.1109/ICRERA49962.2020.9242663
Alyousef Ade Meer H(2019)Design of a TCP-like Smart Charging Controller for Power Quality in Electrical Distribution SystemsProceedings of the Tenth ACM International Conference on Future Energy Systems10.1145/3307772.3328293(128-138)Online publication date: 15-Jun-2019
https://dl.acm.org/doi/10.1145/3307772.3328293
Show More Cited By

Index Terms

RealTime distributed congestion control for electrical vehicle charging

Recommendations

Distributed control of electric vehicle charging
e-Energy '13: Proceedings of the fourth international conference on Future energy systems

Electric vehicles (EVs) are expected to soon become widespread in the distribution network. The large magnitude of EV charging load and unpredictable mobility of EVs make them a challenge for the distribution network. Leveraging fast-timescale ...
Investigating Plug-in Electric Vehicle Charging Stations in Microgrid
ICECC '12: Proceedings of the 2012 International Conference on Electronics, Communications and Control

PHEVs/PEVs have received increasing attention because of their low pollution emissions, low energy dependence, and high fuel economy. In the near future, most PHEV/PEV enabled parking decks are expected to be powered by small-scale and onsite ...
Congestion control and pricing in a network of electric vehicle public charging stations
2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
In this work, we employ stochastic queueing models to design charging fees for a network of public electric vehicle charging stations operated by a Charging Network Operator (CNO). We assume that the CNO has access to statistics of electric vehicle (EV) ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM SIGMETRICS Performance Evaluation Review

ACM SIGMETRICS Performance Evaluation Review Volume 40, Issue 3

December 2012

108 pages

ISSN:0163-5999

DOI:10.1145/2425248

Issue’s Table of Contents

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 January 2012

Published in SIGMETRICS Volume 40, Issue 3

Check for updates

Qualifiers

Column

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

17
Total Citations
View Citations
52
Total Downloads

Downloads (Last 12 months)11
Downloads (Last 6 weeks)1

Reflects downloads up to 22 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Sun LChen YLi WDeng Q(2021)Charging stations‐oriented electric vehicle charging strategy based on battery characteristicsSoftware: Practice and Experience10.1002/spe.298051:11(2168-2184)Online publication date: 6-May-2021
https://doi.org/10.1002/spe.2980
AKIL MDOKUR EBAYINDIR R(2020)Energy Management for EV Charging Based on Solar Energy in an Industrial Microgrid2020 9th International Conference on Renewable Energy Research and Application (ICRERA)10.1109/ICRERA49962.2020.9242663(489-493)Online publication date: 27-Sep-2020
https://doi.org/10.1109/ICRERA49962.2020.9242663
Alyousef Ade Meer H(2019)Design of a TCP-like Smart Charging Controller for Power Quality in Electrical Distribution SystemsProceedings of the Tenth ACM International Conference on Future Energy Systems10.1145/3307772.3328293(128-138)Online publication date: 15-Jun-2019
https://dl.acm.org/doi/10.1145/3307772.3328293
Wang GChen XZhang FWang YZhang DAgarwal SGreenstein BBalasubramanian AGollakota SZhang X(2019)ExperienceThe 25th Annual International Conference on Mobile Computing and Networking10.1145/3300061.3300132(1-12)Online publication date: 5-Aug-2019
https://dl.acm.org/doi/10.1145/3300061.3300132
Studli SCorless MMiddleton RShorten R(2017)On the AIMD Algorithm Under Saturation ConstraintsIEEE Transactions on Automatic Control10.1109/TAC.2017.265116062:12(6392-6398)Online publication date: Dec-2017
https://doi.org/10.1109/TAC.2017.2651160
Avrachenkov KBorkar VPattathil S(2017)Controlling G-AIMD by index policy2017 IEEE 56th Annual Conference on Decision and Control (CDC)10.1109/CDC.2017.8263653(120-125)Online publication date: 12-Dec-2017
https://dl.acm.org/doi/10.1109/CDC.2017.8263653
Kumar P(2016)A network calculus foundation for smart-grids where demand and supply vary in space and timeProceedings of the Seventh International Conference on Future Energy Systems10.1145/2934328.2934332(1-11)Online publication date: 21-Jun-2016
https://dl.acm.org/doi/10.1145/2934328.2934332
Nizami MHaque ANguyen PBliek F(2016)HEMS as network support tool: Facilitating network operator in congestion management and overvoltage mitigation2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)10.1109/EEEIC.2016.7555678(1-6)Online publication date: Jun-2016
https://doi.org/10.1109/EEEIC.2016.7555678
Wang QLiu XDu JKong F(2016)Smart Charging for Electric Vehicles: A Survey From the Algorithmic PerspectiveIEEE Communications Surveys & Tutorials10.1109/COMST.2016.251862818:2(1500-1517)Online publication date: 20-May-2016
https://dl.acm.org/doi/10.1109/COMST.2016.2518628
Rongali SGanuy TPadmanabhan MArya VKalyanaraman SPetra M(2016)iPlug: Decentralised dispatch of distributed generation2016 8th International Conference on Communication Systems and Networks (COMSNETS)10.1109/COMSNETS.2016.7440003(1-8)Online publication date: Jan-2016
https://doi.org/10.1109/COMSNETS.2016.7440003
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Distributed control of electric vehicle charging

Investigating Plug-in Electric Vehicle Charging Stations in Microgrid

Congestion control and pricing in a network of electric vehicle public charging stations