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A Distributed Anytime Algorithm for Real-Time EV Charging Congestion Control

Published: 14 July 2015 Publication History

Abstract

A massive introduction of Electric Vehicles (EVs) will cause considerable load increase, and without proper control, can lead to congestion problems in the distribution of power. EV charging congestion control is the ability to control the EVs' charging rate to avoid the overloading of distribution grid elements while optimizing the use of the available infrastructure. We propose the implementation of a distributed anytime algorithm for real-time congestion control of EV charging in distribution feeders. The problem is formulated as a network utility maximization problem. An iterative distributed solution algorithm with feasible iterates is investigated. This paper shows the formulation of the proposed solution approach and also the formulation of the state-of-the-art dual decomposition solution. The resulting algorithms for the former approaches are evaluated under static and dynamic conditions. The results demonstrate that the proposed algorithm remains stable and retains its anytime property under dynamic conditions. Compared to the state-of-the-art solution, the proposed algorithm offers improved scalability and reliability for EV charging congestion control.

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Cited By

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  • (2022)Fairness vs welfareProceedings of the Thirteenth ACM International Conference on Future Energy Systems10.1145/3538637.3538843(93-104)Online publication date: 28-Jun-2022
  • (2021)Quality of service and fairness for electric vehicle charging as a serviceEnergy Informatics10.1186/s42162-021-00175-34:S3Online publication date: 13-Sep-2021
  • (2020)Fairness in Power Flow Network Congestion Management with Outer Matching and Principal Notions of Fair DivisionProceedings of the Eleventh ACM International Conference on Future Energy Systems10.1145/3396851.3397701(106-115)Online publication date: 12-Jun-2020
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    cover image ACM Conferences
    e-Energy '15: Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems
    July 2015
    334 pages
    ISBN:9781450336093
    DOI:10.1145/2768510
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 14 July 2015

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    Author Tags

    1. congestion control
    2. distributed control
    3. electric vehicle charging

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    • Alexander von Humboldt Foundation

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    e-Energy '15 Paper Acceptance Rate 20 of 85 submissions, 24%;
    Overall Acceptance Rate 160 of 446 submissions, 36%

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    Cited By

    View all
    • (2022)Fairness vs welfareProceedings of the Thirteenth ACM International Conference on Future Energy Systems10.1145/3538637.3538843(93-104)Online publication date: 28-Jun-2022
    • (2021)Quality of service and fairness for electric vehicle charging as a serviceEnergy Informatics10.1186/s42162-021-00175-34:S3Online publication date: 13-Sep-2021
    • (2020)Fairness in Power Flow Network Congestion Management with Outer Matching and Principal Notions of Fair DivisionProceedings of the Eleventh ACM International Conference on Future Energy Systems10.1145/3396851.3397701(106-115)Online publication date: 12-Jun-2020
    • (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
    • (2019)What is optimal in optimal inference?Current Opinion in Behavioral Sciences10.1016/j.cobeha.2019.07.00829(117-126)Online publication date: Oct-2019
    • (2018)Enhancing power quality in electrical distribution systems using a smart charging architectureEnergy Informatics10.1186/s42162-018-0027-11:S1Online publication date: 10-Oct-2018
    • (2018)Flexibility Reward Scheme for Grid-Friendly Electric Vehicle Charging in the Distribution Power GridProceedings of the Ninth International Conference on Future Energy Systems10.1145/3208903.3213893(564-569)Online publication date: 12-Jun-2018
    • (2018)Design and Validation of a Smart Charging Algorithm for Power Quality Control in Electrical Distribution SystemsProceedings of the Ninth International Conference on Future Energy Systems10.1145/3208903.3212031(380-382)Online publication date: 12-Jun-2018
    • (2017)Qantifying The Impact of Electric Vehicles On The Electric GridProceedings of the Eighth International Conference on Future Energy Systems10.1145/3077839.3077854(228-233)Online publication date: 16-May-2017

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