• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2017, Vol. 38 ›› Issue (1): 1-.doi: 10.3969/j.issn.1000-7229.2017.01.001

• 973专题 •    下一篇

 电动汽车充电站在配电系统中电气接入点的最优选择

 郭建龙1,文福拴2,3,袁军4,吕浩华4,俞哲人4   

  1.  1.华南理工大学电力学院,广州市 510640;2.浙江大学电气工程学院,杭州市 310027;
    3.文莱科技大学电机与电子工程系,文莱斯里巴加湾 BE1410;
    4.国网浙江省电力公司电动汽车服务分公司,杭州市 310007
  • 出版日期:2017-01-01
  • 作者简介:郭建龙(1982),男,博士研究生,主要从事电动汽车与电力系统交互方面的研究工作;文福拴(1965),男,教授,博士生导师,主要从事电力系统故障诊断与系统恢复、电力经济与电力市场、智能电网与电动汽车等方面的研究工作;袁军(1980),男,硕士,工程师,主要从事电动汽车与电力系统交互方面的科研与管理工作;吕浩华(1980),男,学士,工程师,主要从事电动汽车与电力系统交互方面的科研与管理工作;俞哲人(1969),男,学士,工程师,主要从事电动汽车与电力系统交互方面的科研与管理工作。
  • 基金资助:
     国家重点基础研究发展计划项目(973计划) (2013CB228202);国家自然科学基金项目(51477151);国网浙江省电力公司科研项目(5211DF150007)

 Optimal Selection of Electrical Connecting Nodes of Electric Vehicle Charging Stations in Distribution Systems

GUO Jianlong1, WEN Fushuan2,3, YUAN Jun4, LYU Haohua4, YU Zheren4   

  1.  1.School of Electric Power, South China University of Technology, Guangzhou 510640, China;
    2.School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;
    3. Department of Electrical and Electronic Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei;
    4. Division of Electric Vehicle Service, State Grid Zhejiang Electric Power Company,Hangzhou 310007, China
  • Online:2017-01-01
  • Supported by:
     Project supported by National Basic Research Program of China (973 Program) (2013CB228202);National Natural Science Foundation of China (51477151)

摘要:  针对电动汽车(electric vehicle,EV)充电负荷在空间中的合理布局等问题,现有相关文献主要围绕充电站的选址和定容展开研究,尚未论及如何确定充电站在所属区域配电系统中的电气接入点。在此背景下,该文针对计及对潮流影响的电动汽车充电站电气接入点的选择问题进行探讨。首先,依据电动汽车出行统计数据拟合结果,获得初始荷电状态(state of charge,SOC)及起始充电时刻分布特性,建立电动汽车充电负荷的概率模型,同时利用蒙特卡洛仿真求解,并采用深圳市电动出租车的实际数据对这种方法做了验证。之后,以节点电压偏差百分数和支路有功功率损耗增量百分数为基础,构造了评价充电站对配电系统潮流影响的综合指标,进而提出了确定充电站最优电气接入点的方法。最后,以修改的IEEE 33节点配电系统为例对所提出的方法进行了说明。


关键词:  , 配电系统, 电动汽车(EV), 充电站, 电气接入点, 潮流影响

Abstract:  The optimal sitting and sizing problem of electric vehicle (EV) charging stations has been studied in many existing publications for achieving spatially coordinated distributions of EV charging loads as well as other objectives. However, the determination of electrical connecting nodes of EV charging stations in a distribution system has not yet been investigated, and is the subject of this paper with the impacts on power flow considered. First, the distributions of initial charging states and starting charging time points of EVs are attained based on the fitting results of traveling statistics, and a probability model for describing EV charging loads is established and then solved by Monte Carlo simulations with demonstration of actual data of electric taxis in Shenzhen. Then, based on the percentages of bus voltage deviations and branch loss increments, a comprehensive evaluation index is employed for assessing the impacts of EV charging stations on power flow in the distribution system concerned, and the electrical connecting points of EV charging stations in the distribution system are then optimally determined. Finally, a modified version of the IEEE 33-node distribution system is served for demonstrating the proposed method.


Key words:  distribution system, electric vehicle(EV), charging station, electrical connecting node, impacts on power flow

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