IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i13p2563-d245392.html
   My bibliography  Save this article

Multi-Objective Optimal Charging Control of Plug-In Hybrid Electric Vehicles in Power Distribution Systems

Author

Listed:
  • Wei Li

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Zhiyun Lin

    (School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Kai Cai

    (Department of Electrical and Information Engineering, Osaka City University, Osaka 5588585, Japan)

  • Hanyun Zhou

    (Institute of Marine Information Science and Technology, Zhejiang University, Zhoushan, 316022, China)

  • Gangfeng Yan

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

With the increasing popularity of plug-in hybrid electric vehicles (PHEVs), the coordinated charging of PHEVs has become an important issue in power distribution systems. This paper employs a multi-objective optimization model for coordinated charging of PHEVs in the system, in which the problem of valley filling and total cost minimization are both investigated under the system’s technical constraints. To this end, a hierarchical optimal algorithm combining the water-filling-based algorithm with the consensus-based method is proposed to solve the constrained optimization problem. Moreover, a moving horizon approach is adopted to deal with the case where PHEVs arrive and leave randomly. We show that the proposed algorithm not only enhances the stability of the power load but also achieves the global minimization of vehicle owners charging costs, and its implementation is convenient in the multi-level power distribution system integrating the physical power grid with a heterogeneous information network. Numerical simulations are presented to show the desirable performance of the proposed algorithm.

Suggested Citation

  • Wei Li & Zhiyun Lin & Kai Cai & Hanyun Zhou & Gangfeng Yan, 2019. "Multi-Objective Optimal Charging Control of Plug-In Hybrid Electric Vehicles in Power Distribution Systems," Energies, MDPI, vol. 12(13), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:13:p:2563-:d:245392
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/13/2563/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/13/2563/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Paweł Mazurek & Aleksander Chudy, 2021. "An Analysis of Electromagnetic Disturbances from an Electric Vehicle Charging Station," Energies, MDPI, vol. 15(1), pages 1-16, December.
    2. Sylvester Johansson & Jonas Persson & Stavros Lazarou & Andreas Theocharis, 2019. "Investigation of the Impact of Large-Scale Integration of Electric Vehicles for a Swedish Distribution Network," Energies, MDPI, vol. 12(24), pages 1-22, December.
    3. Paweł Ziemba, 2020. "Multi-Criteria Stochastic Selection of Electric Vehicles for the Sustainable Development of Local Government and State Administration Units in Poland," Energies, MDPI, vol. 13(23), pages 1-19, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:13:p:2563-:d:245392. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.