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Research on Electric Vehicle Charging Scheduling Strategy Based on the Multiobjective Algorithm

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  • Xuefeng Jiang
  • Wenlong Hang

Abstract

Under the influence of the low-carbon economy, the electric vehicles have been vigorously promoted. As the main place for charging, charging stations are classified as unstable loads in the power grid because of the large fluctuation of electricity demand. If a large number of charging stations in the system are not regulated and dispatched, the stability of the system will be greatly affected, so it is vital to further study the scheduling strategy of the cars. In this paper, a scheduling model based on the multiobjective algorithm is established, in which the PSO algorithm is used in the model. And the experimental analysis shows that the model can reduce the average charging time and improve the utilization rate of charging piles.

Suggested Citation

  • Xuefeng Jiang & Wenlong Hang, 2022. "Research on Electric Vehicle Charging Scheduling Strategy Based on the Multiobjective Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-6, August.
    • Handle: RePEc:hin:jnlmpe:1959511
    DOI: 10.1155/2022/1959511
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