Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3208903.3208934acmconferencesArticle/Chapter ViewAbstractPublication Pagese-energyConference Proceedingsconference-collections
research-article

Challenges in Scheduling Electric Vehicle Charging with Discrete Charging Rates in AC Power Networks

Published: 12 June 2018 Publication History

Abstract

To meet the substantial demand for electrified transportation, a high level of penetration of electric vehicles (EVs) will be expected to incur considerable impacts on the reliability of electricity grid. Hence, there requires an intelligent scheduling mechanism for EV charging for maintaining the electricity grid within the operating limits and absorbing intermittent renewable energy. This note discusses the challenges in designing practical charging algorithms considering common discrete charging rates with minimum power requirements in various charging modes over alternating current (AC) power networks. We present the basic ideas of applying convex relaxation and proper rounding techniques to tackle the combinatorial optimization problem of EV charging.

References

[1]
Mesut E Baran and Felix F Wu. 1989. Optimal capacitor placement on radial distribution systems. IEEE Trans. Power Delivery 4, 1 (1989), 725--734.
[2]
Stephen Frank, Ingrida Steponavice, and Steffen Rebennack. 2012. Optimal power flow: a bibliographic survey I. Energy Systems 3, 3 (01 Sep 2012), 221--258.
[3]
Lingwen Gan, Na Li, Ufuk Topcu, and Steven H Low. 2015. Exact convex relaxation of optimal power flow in radial networks. IEEE Trans. on Automatic Control 60, 1 (2015), 72--87.
[4]
Lingwen Gan, Ufuk Topcu, and Steven H. Low. 2012. Stochastic Distributed Protocol for Electric Vehicle Charging with Discrete Charging Rate. In IEEE Power and Energy Society General Meeting.
[5]
C. Gerkensmeyer, M. C. W. Kintner-Meyer, and J. G. DeSteese. 2010. Technical challenges of plug-in hybrid electric vehicles and impacts to the US power system: Distribution system analysis. Technical Report. U.S. Dept. Energy, Washington, DC, USA. PNNL-19165.
[6]
J. Grainger and W. Stevenson. 1994. Power System Analysis. McGraw-Hill.
[7]
Shaojun Huang, Qiuwei Wu, Jianhui Wang, and Haoran Zhao. 2017. A sufficient condition on convex relaxation of AC optimal power flow in distribution networks. IEEE Trans. on Power Systems 32, 2(2017), 1359--1368.
[8]
Majid Khonji, Chi-Kin Chau, and Khaled Elbassioni. 2017. Combinatorial Optimization of AC Optimal Power Flow with Discrete Demands in Radial Networks. Technical Report. https://arxiv.org/abs/1709.08431.
[9]
Majid Khonji, Chi-Kin Chau, and Khaled Elbassioni. 2018. Optimal Power Flow with Inelastic Demands for Demand Response in Radial Distribution Networks. IEEE Trans. on Control of Network Systems 5, 1 (Mar 2018), 513--524. http://arxiv.org/abs/1601.02323.
[10]
Majid Khonji, Sid Chi-Kin Chau, and Khaled Elbassioni. 2018. Approximation Scheduling Algorithms for Electric Vehicle Charging with Discrete Charging Options. In ACM International Conference on Future Energy Systems (e-Energy) Workshop on Electric Vehicle Systems, Data, and Applications (EV-Sys).
[11]
Majid Khonji, Sid Chi-Kin Chau, and Khaled Elbassioni. 2018. Combinatorial Optimization of Electric Vehicle Charging in AC Power Distribution Networks. Technical Report.
[12]
S.H. Low. 2014. Convex Relaxation of Optimal Power Flow, Part I: Formulations and Equivalence. IEEE Trans. on Control of Network Systems 1, 1 (March 2014), 15--27.
[13]
S.H. Low. 2014. Convex Relaxation of Optimal Power Flow, Part II: Exactness. IEEE Trans. on Control of Network Systems 1, 2 (June 2014), 177--189.
[14]
OpenEVSE. 2018. OpenEV Universal Electric Vehicle Charging Station Controller. (2018). http://www.openevse.com
[15]
Qinglong Wang, Xue Liu, Jian Du, and Fanxin Kong. 2016. Smart Charging for Electric Vehicles: A Survey From the Algorithmic Perspective. IEEE Communications Surveys and Tutorials 18, 2 (2016), 1500--1517.
[16]
Murat Yilmaz and Philip T Krein. 2012. Review of Battery Charger Topologies, Charging Power Levels, and Infrastructure for Plug-In Electric and Hybrid Vehicles. IEEE Trans. on Power Electronics 28, 5 (2012), 2151--2169.

Cited By

View all
  • (2024)A Review on Charging Control and Discharging Control of Plug-in Electric Vehicles in the Distribution GridCognitive Computing and Cyber Physical Systems10.1007/978-3-031-48891-7_4(48-62)Online publication date: 5-Jan-2024
  • (2023)A study of charging-dispatch strategies and vehicle-to-grid technologies for electric vehicles in distribution networksEnergy Reports10.1016/j.egyr.2022.12.1399(1777-1806)Online publication date: Dec-2023
  • (2021)Flexibility-Enhancing Charging Station to Support the Integration of Electric VehiclesWorld Electric Vehicle Journal10.3390/wevj1202005312:2(53)Online publication date: 1-Apr-2021
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
e-Energy '18: Proceedings of the Ninth International Conference on Future Energy Systems
June 2018
657 pages
ISBN:9781450357678
DOI:10.1145/3208903
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 the author(s) 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].

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 June 2018

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. AC power networks
  2. Electric vehicle charging
  3. discrete charging options
  4. scheduling optimization

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

e-Energy '18
Sponsor:

Acceptance Rates

Overall Acceptance Rate 160 of 446 submissions, 36%

Upcoming Conference

E-Energy '25

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)11
  • Downloads (Last 6 weeks)1
Reflects downloads up to 04 Sep 2024

Other Metrics

Citations

Cited By

View all
  • (2024)A Review on Charging Control and Discharging Control of Plug-in Electric Vehicles in the Distribution GridCognitive Computing and Cyber Physical Systems10.1007/978-3-031-48891-7_4(48-62)Online publication date: 5-Jan-2024
  • (2023)A study of charging-dispatch strategies and vehicle-to-grid technologies for electric vehicles in distribution networksEnergy Reports10.1016/j.egyr.2022.12.1399(1777-1806)Online publication date: Dec-2023
  • (2021)Flexibility-Enhancing Charging Station to Support the Integration of Electric VehiclesWorld Electric Vehicle Journal10.3390/wevj1202005312:2(53)Online publication date: 1-Apr-2021
  • (2019)Approximate Scheduling of DERs with Discrete Complex InjectionsProceedings of the Tenth ACM International Conference on Future Energy Systems10.1145/3307772.3328311(204-214)Online publication date: 15-Jun-2019
  • (2019)Enabling Auto-Configuring Building ServicesProceedings of the Tenth ACM International Conference on Future Energy Systems10.1145/3307772.3328288(68-77)Online publication date: 15-Jun-2019
  • (2019)ExperienceThe 25th Annual International Conference on Mobile Computing and Networking10.1145/3300061.3300132(1-12)Online publication date: 5-Aug-2019
  • (2018)Approximation Scheduling Algorithms for Electric Vehicle Charging with Discrete Charging OptionsProceedings of the Ninth International Conference on Future Energy Systems10.1145/3208903.3213895(579-585)Online publication date: 12-Jun-2018

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media