Research on Charging-Discharging Control Strategy of Electric Vehicles Considering Wind Power Consumption in Ubiquitous Power Internet of Things

Xiaobo CHEN; Xiuyuan YANG

doi:10.12096/j.2096-4528.pgt.20008

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Research on Charging-Discharging Control Strategy of Electric Vehicles Considering Wind Power Consumption in Ubiquitous Power Internet of Things

Carbon Neutrality | 更新时间：2025-07-04

- Research on Charging-Discharging Control Strategy of Electric Vehicles Considering Wind Power Consumption in Ubiquitous Power Internet of Things
- Power Generation Technology Vol. 42, Issue 5, Pages: 561-567(2021)
- 作者机构：
  
  北京信息科技大学自动化学院, 北京市海淀区 100192
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(51377011)
- DOI：10.12096/j.2096-4528.pgt.20008
  CLC： TK81
- Received：24 November 2020，
  
  Published：31 October 2021
- 稿件说明：
移动端阅览
Xiaobo CHEN, Xiuyuan YANG. Research on Charging-Discharging Control Strategy of Electric Vehicles Considering Wind Power Consumption in Ubiquitous Power Internet of Things[J]. Power Generation Technology, 2021, 42(5): 561-567.
DOI：

Xiaobo CHEN, Xiuyuan YANG. Research on Charging-Discharging Control Strategy of Electric Vehicles Considering Wind Power Consumption in Ubiquitous Power Internet of Things[J]. Power Generation Technology, 2021, 42(5): 561-567. DOI： 10.12096/j.2096-4528.pgt.20008.

摘要

电动汽车的充放电负荷在一定程度上可以参与电网功率调节，从而可以达到削峰填谷及降低系统功率波动的目的。特别是对于含有风电场的电力系统，电动汽车入网还可以充当储能装置来提高风电利用率并降低风电出力功率波动对电网造成的冲击。研究了基于泛在电力物联网的电动汽车充放电控制策略，建立了含有风电入网及电动汽车充放电的数学模型，使用粒子群算法对不同数量的电动汽车入网调节后的调节效果进行了对比，通过算例分析验证了电动汽车参与电网调节的适用性与有效性。

Abstract

The charge and discharge load of electric vehicles can participate in the power regulation of power grid to a certain extent

so as to achieve the purpose of cutting peaks and filling valleys and reducing system power fluctuations. Especially for the power systems containing wind farms

electric vehicles can also serve as energy storage devices to increase the utilization of wind power and reduce the impact of wind power fluctuations on the power grid. The control strategy based on the ubiquitous power internet of things of charging-discharging of electric vehicles was studied. A mathematical model containing wind power connected to the grid and electric vehicle charging and discharging was established

and the particle swarm optimization algorithm was used to compare the adjustment effects of different the grid. The simulation results verify the applicability and numbers of electric vehicles after they were connected to effectiveness of electric vehicles participating in the grid adjustment.

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references

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