电器与能效管理技术 ›› 2021, Vol. 0 ›› Issue (5): 59-64.doi: 10.16628/j.cnki.2095-8188.2021.05.011

• 充电桩技术 • 上一篇    下一篇

基于蒙特卡洛算法的电动汽车有序充电控制策略研究

李红岩, 刘苗苗, 贾甜, 齐晓祥, 牛高远, 张臻   

  1. 许继电源有限公司, 河南 许昌 461000
  • 收稿日期:2020-12-25 出版日期:2021-05-30 发布日期:2021-06-15
  • 作者简介:李红岩(1985—),男,工程师,主要从事电动汽车有序充电系统的研究。|刘苗苗(1990—),女,工程师,主要从事电动汽车充电设备系统的研究。|贾甜(1992—),女,主要从事电动汽车大功率充电系统领域的研究。
  • 基金资助:
    * 国家重点研发计划项目(2018YFB0106305)

Research on Control Strategy of Electric Vehicle Orderly Charging Based on Monte Carlo Algorithm

LI Hongyan, LIU Miaomiao, JIA Tian, QI Xiaoxiang, NIU Gaoyuan, ZHANG Zhen   

  1. XJ Power Co.,Ltd., Xuchang 461000, China
  • Received:2020-12-25 Online:2021-05-30 Published:2021-06-15

摘要:

随着电动汽车产业发展,电动汽车充电设施大规模接入将对配电网产生不利影响,提出一种基于蒙特卡洛算法的电动汽车有序充电控制策略研究方案,既能减少了电动汽车用电负荷对配电网的不利影响,又能在一定程度上达到削峰填谷的目的。通过在MATLAB/Simulink中搭建仿真模型,验证了所提方案的有效性和可行性。

关键词: 电动汽车充电设施, 蒙特卡洛算法, 有序充电控制策略, 削峰填谷

Abstract:

With the development of electric vehicle industry,the large-scale access to electric vehicle charging facilities will have an adverse impact on the distribution network.This paper proposed a research scheme of electric vehicle orderly charging control strategy based on Monte Carlo algorithm,which not only reduces the adverse impact of electric vehicle load on distribution network,but also achieves the purpose of peak load shifting and valley filling to a certain extent.By building a simulation model in MATLAB/Simulink,the effectiveness and feasibility of the scheme are verified.

Key words: electric vehicle charging facilities, Monte Carlo algorithm, orderly charging control strategy, peak load shifting and valley filling

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