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Electric Vehicle Cluster Scheduling Model for Distribution Systems Considering Reactive-Power Compensation of Charging Piles

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  • Liping Huang

    (School of Electronic and Electrical Engineering, Zhaoqing University, Zhaoqing 526061, China)

  • Haisheng Li

    (School of Automation, Guangdong University of Technology, Guangzhou 510006, China)

  • Chun Sing Lai

    (School of Automation, Guangdong University of Technology, Guangzhou 510006, China
    Department of Electronic and Electrical Engineering, Brunel University London, London UB8 3PH, UK)

  • Ahmed F. Zobaa

    (Department of Electronic and Electrical Engineering, Brunel University London, London UB8 3PH, UK)

  • Bang Zhong

    (Zhaoqing Power Supply Bureau, Guangdong Power Grid Company, China Southern Power Grid, Zhaoqing 526020, China)

  • Zhuoli Zhao

    (School of Automation, Guangdong University of Technology, Guangzhou 510006, China)

  • Loi Lei Lai

    (DRPT International Inc., Perth, WA 6009, Australia)

Abstract

With the increasing number of electric vehicles (EVs), their uncoordinated charging poses a great challenge to the safe operation of the power grid. In addition, traditional individual-EV scheduling models may be difficult to solve due to the increasing number of constraints. Therefore, this paper proposes a cluster-based EV scheduling model. Firstly, electric vehicle clusters (EVCs) are formed based on the charging and discharging preferences of EV users and the expected time for EVs to leave. Secondly, the EVC energy and power boundary aggregation method based on the Minkowski addition algorithm is proposed. Finally, for the sake of reducing user charging cost and distribution network energy loss, and smoothing the daily load curve, an EVC scheduling model for EV participation in grid auxiliary services is proposed. The optimization model includes the reactive-power compensation of EV charging piles. The simulation results show that the proposed EVC scheduling model can greatly reduce the solution time compared to traditional individual-EV scheduling model. The model has high potential to be applied to large-scale EV scheduling. The reactive-power compensation provided by EV charging piles improves the voltage quality of the grid and enables more EVs to be connected to the grid.

Suggested Citation

  • Liping Huang & Haisheng Li & Chun Sing Lai & Ahmed F. Zobaa & Bang Zhong & Zhuoli Zhao & Loi Lei Lai, 2024. "Electric Vehicle Cluster Scheduling Model for Distribution Systems Considering Reactive-Power Compensation of Charging Piles," Energies, MDPI, vol. 17(11), pages 1-24, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2541-:d:1401187
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    References listed on IDEAS

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    3. Yang, Jun & He, Lifu & Fu, Siyao, 2014. "An improved PSO-based charging strategy of electric vehicles in electrical distribution grid," Applied Energy, Elsevier, vol. 128(C), pages 82-92.
    4. Zhang, Xiaoshun & Yu, Tao & Yang, Bo & Li, Li, 2016. "Virtual generation tribe based robust collaborative consensus algorithm for dynamic generation command dispatch optimization of smart grid," Energy, Elsevier, vol. 101(C), pages 34-51.
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