基于行程链理论的电动汽车充电负荷建模及电动汽车对配电网的影响

Q. Liang, Lingxue Lin, Baorong Zhou, Wenmeng Zhao
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引用次数: 7

摘要

随着电动汽车的普及,它已成为智能电网的关键负荷。电动汽车充电负荷建模是评估其对配电网影响的基础。本文基于行程链的概念,利用蒙特卡罗仿真方法,提出了一种详细的模型来分析PEV在时间和空间上的行驶特性。考虑到充电行为的差异,生成了三种充电场景,得到了充电负荷曲线。在此基础上,估计了PEV对多级配电网的影响。结果表明,如果pev在最后一次出行后每天在家充电,尤其是在工作日,将会产生最大的负载需求。此外,建议充电负荷连接到馈线的前部,这样可以减少电压降。该研究能够准确描述充电负荷的时空特征,全面分析其对配电网的影响,对未来电网规划具有指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of PEV charging load based on trip chain theory and the impact of PEV on distribution networks
With the popularization of PEV, it has been the critical load of smart the grid. The modeling of PEV charging load is the basis of the estimation of its impact on distribution networks. This paper proposes a detailed model to analyze the driving characteristics both in time and space of PEV based on the concept of trip chain and the utilization of Monte Carlo Simulation Method. Taking the difference in charging behaviors into consideration, three charging scenarios are generated and then charging load profiles are obtained. Based on the above study, the impact of PEV on multi-level distribution networks is estimated. The results show that it will cause the largest load demand if PEVs charge at home every day after the last trip, especially on a weekday. In addition, it’s recommended that the charging load connects to the front of the feeder, which leads to less voltage drop. This study can accurately describe the temporal-spatial characteristics of charging load and comprehensively analyze its impact on distribution networks, which is instructive for the planning of future power grid.
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