skip to main content
column

RealTime distributed congestion control for electrical vehicle charging

Published:04 January 2012Publication History
Skip Abstract Section

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.Google ScholarGoogle ScholarCross RefCross Ref
  2. D. Bansal and H. Balakrishnan. Binomial congestion control algorithms. In INFOCOM '01, volume 2, pages 631--640. IEEE, 2001.Google ScholarGoogle ScholarCross RefCross Ref
  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 ScholarGoogle 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.Google ScholarGoogle ScholarCross RefCross Ref
  5. W. Eddy and M. Welzl. Congestion control in the RFC series. http://tools.ietf.org/html/rfc5783, 2010.Google ScholarGoogle Scholar
  6. EPRI. Impact of plug-in hybrid electric vehicles on utility distribution. Technical Report, 2009.Google ScholarGoogle 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. Google ScholarGoogle ScholarDigital LibraryDigital Library
  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 ScholarGoogle Scholar
  9. J. Jaffe. Bottleneck ow control. Communications, IEEE Transactions on, 29(7):954--962, 1981.Google ScholarGoogle ScholarCross RefCross Ref
  10. D. Katabi, M. Handley, and C. Rohrs. Congestion control for high bandwidth-delay product networks. In SIGCOMM '02, pages 89--102. ACM, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  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 ScholarGoogle Scholar

Index Terms

  1. RealTime distributed congestion control for electrical vehicle charging

            Recommendations

            Comments

            Login options

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

            Sign in

            Full Access

            • 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

              Copyright © 2012 Copyright is held by the owner/author(s)

              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: 4 January 2012

              Check for updates

              Qualifiers

              • column

            PDF Format

            View or Download as a PDF file.

            PDF

            eReader

            View online with eReader.

            eReader