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The Impact of Charging Plug-In Electric Vehicles on Distribution System Considering Spatial and Temporal Distribution

机译:电动车辆电动车对考虑空间和时间分布的分配系统的影响

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The plug-in electric vehicles (PEVs) would exert inevitable impact on distribution system operation due to the spatial and temporal stochastic nature of the charging load. Based on the probability distributions of battery charging start time and the initial state-of-charge (SOC), the spatial and temporal charging loads of PEVsare analyzed on load nature and charging behaviors among different functional distribution areas. Taking IEEE 33-bus distribution system as an example, the Monte Carlo method is adopted to simulate charging load under different charging strategies and charging places for assess the impact on network loss and nodal voltage using standard load flow calculations. The results show that the choice of control strategies can improve the impacts of PEVs charging on distribution grid;;a well-developed public charging infrastructure could reduce the stress on the residential distribution systems;;optimal assignment of PEVs charging in residential area and industrial or commercial areas would provide a reference for charging infrastructure construction.
机译:由于充电负荷的空间和时间随机性,插入式电动车(PEVS)对分配系统运行产生不可避免的影响。基于电池充电开始时间的概率分布以及初始充电状态(SOC),在不同功能分布区域的负载性和充电行为上分析了Pevsare的空间和时间充电载荷。以IEEE 33母线分配系统为例,采用蒙特卡罗方法模拟不同的充电策略和充电地点,用于使用标准负载流量计算评估对网络损耗和节点电压的影响。结果表明,控制策略的选择可以改善PEVS充电对分布网格的影响;;一种发达的公共收费基础设施可以减少住宅配送系统的压力;;住宅区和工业的PEVS充电的最佳分配或商业区将为收费基础设施建设提供参考。

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