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Distribution Network Congestion Dispatch Considering Time-Spatial Diversion of Electric Vehicles Charging

Author

Listed:
  • Hui Sun

    (School of Electrical Engineering, Dalian University of Technology; Dalian 116024, China)

  • Peng Yuan

    (School of Electrical Engineering, Dalian University of Technology; Dalian 116024, China)

  • Zhuoning Sun

    (State Grid Liaoning Maintenance Company, Shenyang 110000, China)

  • Shubo Hu

    (School of Electrical Engineering, Dalian University of Technology; Dalian 116024, China)

  • Feixiang Peng

    (School of Electrical Engineering, Dalian University of Technology; Dalian 116024, China)

  • Wei Zhou

    (School of Electrical Engineering, Dalian University of Technology; Dalian 116024, China)

Abstract

With the popularization of electric vehicles, free charging behaviors of electric vehicle owners can lead to uncertainty about charging in both time and space. A time-spatial dispatching strategy for the distribution network guided by electric vehicle charging fees is proposed in this paper, which aims to solve the network congestion problem caused by the unrestrained and free charging behaviors of large numbers of electric vehicles. In this strategy, congestion severity of different lines is analyzed and the relationship between the congested lines and the charging stations is clarified. A price elastic matrix is introduced to reflect the degree of owners’ response to the charging prices. A pricing scheme for optimal real-time charging fees for multiple charging stations is designed according to the congestion severity of the lines and the charging power of the related charging stations. Charging price at different charging station at different time is different, it can influence the charging behaviors of vehicle owners. The simulation results confirmed that the proposed congestion dispatching strategy considers the earnings of the operators, charging cost to the owners and the satisfaction of the owners. Moreover, the strategy can influence owners to make judicious charging plans that help to solve congestion problems in the network and improve the safety and economy of the power grid.

Suggested Citation

  • Hui Sun & Peng Yuan & Zhuoning Sun & Shubo Hu & Feixiang Peng & Wei Zhou, 2018. "Distribution Network Congestion Dispatch Considering Time-Spatial Diversion of Electric Vehicles Charging," Energies, MDPI, vol. 11(10), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2820-:d:176769
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    References listed on IDEAS

    as
    1. Shubo Hu & Hui Sun & Feixiang Peng & Wei Zhou & Wenping Cao & Anlong Su & Xiaodong Chen & Mingze Sun, 2018. "Optimization Strategy for Economic Power Dispatch Utilizing Retired EV Batteries as Flexible Loads," Energies, MDPI, vol. 11(7), pages 1-21, June.
    2. Rui Ye & Xueliang Huang & Ziqi Zhang & Zhong Chen & Ran Duan, 2018. "A High-Efficiency Charging Service System for Plug-in Electric Vehicles Considering the Capacity Constraint of the Distribution Network," Energies, MDPI, vol. 11(4), pages 1-20, April.
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