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基于分区的含电动汽车充换电站配电网规划研究

发布时间:2018-09-11 08:57
【摘要】:随着经济社会的快速发展,能源紧张、环境污染问题日趋严重,电动汽车因其节能环保的优点已经成为未来汽车产业的发展方向。随着电动汽车的大规模应用,将对电网产生巨大的影响。充换电站作为电动汽车的基础设施,合理的优化布局可以加速电动汽车的推广,电动汽车电池的储能特性也可以使充换电站在配电网中发挥有利作用。因此,有必要对电动汽车充换电站的优化布局和含有充换电站的配电网规划进行研究。本文基于分区的思想研究了电动汽车充换电站的选址布局、服务范围划分和考虑充换电站作为备用电源的主馈线分段开关优化配置问题,主要工作如下:针对配电网负荷分布特点,提出了一种基于自适应权重Voronoi图的配电网供电分区方法。该方法考虑变电站的负载能力、供电距离、地理障碍和网格归属地等因素,动态调整发生元在不同方向上的扩算速度,引入了虚拟元的概念,解决分区内现状无电源点问题,并对分区结果分类。最后经实际算例验证,表明该方法具有一定有效性和合理性。为解决电动汽车充电需求计算问题,充分考虑了不同分区电动汽车的潮汐分布,不同类型电动汽车的充电行为,建立了基于蒙特卡罗模拟法的电动汽车充电负荷需求模型,并利用该模型计算和分析了电动汽车充电需求的时空分布特点。针对电动汽车充换电站的规划问题,在分区的基础上,结合重心法和加权Voronoi图模型进行了电动汽车充换电站的选址布局,采用Voronoi图划分充换电站的服务范围,利用重心法实现了在服务范围内充换电站的站址搜索,通过算例验证了该方法的可行性。提出了将分区内的电动汽车充换电站作为重要负荷备用电源的方案,以总费用最小为目标,综合考虑充换电站出力限制、投资维护成本和系统停电损失建立了线路分段优化配置模型,最后通过算例结果证明了可以使配电网停电损失减少,供电可靠性提高。
[Abstract]:With the rapid development of economy and society, energy shortage and environmental pollution are becoming more and more serious. Electric vehicle (EV) has become the development direction of automobile industry in the future because of its advantages of energy saving and environmental protection. With the large-scale application of electric vehicles, will have a huge impact on the power grid. As the infrastructure of electric vehicles, charging power station can accelerate the popularization of electric vehicle, and the energy storage characteristics of electric vehicle battery can also make the charging power station play a favorable role in the distribution network. Therefore, it is necessary to study the optimal layout and distribution network planning of electric vehicle recharge power station. Based on the idea of partition, this paper studies the location and layout of electric vehicle charging and switching power station, the partition of service range and the optimal configuration of main feeder segment switch considering charging and replacing power station as backup power supply. The main work is as follows: according to the characteristics of distribution network load distribution, an adaptive weighted Voronoi diagram based distribution network power supply partition method is proposed. Considering the load capacity of substation, power supply distance, geographical obstacle and grid attribution, the method dynamically adjusts the expansion speed of generator in different directions, introduces the concept of virtual element, and solves the problem of no power point in the area. The partition results were classified. Finally, a practical example shows that the method is effective and reasonable. In order to solve the problem of electric vehicle charging demand calculation, considering the tidal distribution of different electric vehicles and charging behavior of different types of electric vehicles, a charging load demand model of electric vehicles based on Monte Carlo simulation method is established. The temporal and spatial distribution characteristics of electric vehicle charging demand are calculated and analyzed by using this model. Aiming at the problem of electric vehicle filling and changing power station planning, combined with gravity center method and weighted Voronoi diagram model, the location and layout of electric vehicle filling and replacing power station is carried out on the basis of partition, and Voronoi diagram is used to divide the service range of charging and replacing power station. The center of gravity method is used to realize the site search of the filling and changing power station in the service range, and the feasibility of the method is verified by an example. This paper puts forward a scheme of taking the electric vehicle recharge power station in the district as the backup power source for the important load, taking the minimum total cost as the goal, and considering comprehensively the limit of the power generation of the charging and replacing power station. The optimal allocation model of transmission line is established in terms of investment and maintenance cost and system blackout loss. Finally, it is proved that the outage loss can be reduced and the power supply reliability can be improved by an example.
【学位授予单位】:南京师范大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:U469.72;TM715

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