电动汽车有序充电调度服务的设计与实现

发布时间：2018-10-17 21:43

【摘要】：为了应对环境的日益恶化和国际能源的极度紧张,以电动汽车为主的新能源汽车的工业化发展逐渐被提上了议事日程。电动汽车的大量引入将对电网的负载带来较大冲击。电动汽车续驶里程较短,充电基础设施建设尚不完善,这些都将给电动汽车用户出行带来诸多不便,成为我国电动汽车大规模推广和运营中面临的实际问题。传统有序充电方法的关注点在于平衡电网峰谷差,对于车主和充电相关运营商的利益并没有做过多考虑。为此,论文针对电动汽车的能量补给特性,并充分考虑充电站的动态运营负载,分别构建了车辆的时间成本评估模型和用电模型,以充电站为特殊节点,在原始道路拓扑图的基础上构建了能量可达图,对电动汽车实施合理的充电引导,从而一定程度上减弱甚至消除电动汽车电量的限制。论文采用美国圣安东尼奥地区地图作为初始拓扑图,对提出的方法进行了仿真验证。结果表明,论文方法在优化电动汽车出行成本和平衡充电站的负载方面,明显优于其他充电调度方式。基于论文提出的有序充电调度策略,设计并实现了电动汽车有序充电调度智能服务原型。论文首先介绍了研究背景和相关技术,然后给出了服务的运行场景。从电动汽车用户和运营商两个角度,对系统需求进行了分解。在需求分析的基础上,设计了有序充电调度关键算法和智能服务系统的总体功能架构,并进行了模块的划分和接口设计。定义了关键模块的类图,并针对主要子服务给出详细的方法流程设计,完成了系统的设计与实现工作。最后对有序充电服务原型系统进行了功能测试,测试结果表明系统基本符合需求分析。论文结尾对有序充电调度服务的研发过程进行了总结,.并指出了未来的研究方向。
[Abstract]:In order to cope with the worsening of environment and the extreme tension of international energy, the industrialization and development of new energy vehicles, which are mainly electric vehicles, have been put on the agenda gradually. The introduction of a large number of electric vehicles will have a great impact on the load of the power grid. The short driving mileage of electric vehicles and the imperfect construction of charging infrastructure will bring many inconvenience to the users of electric vehicles and become the practical problems in the large-scale promotion and operation of electric vehicles in China. The focus of the traditional orderly charging method is to balance the peak and valley difference of power grid, and the interests of vehicle owners and charging operators are not considered too much. Therefore, aiming at the energy recharge characteristic of electric vehicle, and considering the dynamic operation load of charging station, the time cost evaluation model and electric model of vehicle are constructed respectively, and the charging station is regarded as the special node. On the basis of the original road topology diagram, the energy can Datuk is constructed, and the reasonable charge guidance is carried out to the electric vehicle, so as to weaken or even eliminate the limitation of the electric vehicle power to a certain extent. In this paper, the San Antonio area map is used as the initial topology map, and the proposed method is verified by simulation. The results show that the proposed method is superior to other charging scheduling methods in optimizing the travel cost of electric vehicles and balancing the load of charging stations. Based on the orderly charging scheduling strategy proposed in this paper, an intelligent service prototype of ordered charging scheduling for electric vehicles is designed and implemented. Firstly, the research background and related technologies are introduced, and then the running scenario of the service is given. From the electric vehicle user and the operator two angles, has carried on the decomposition to the system demand. On the basis of requirement analysis, the key algorithm of orderly charging scheduling and the overall functional framework of intelligent service system are designed, and the module partition and interface design are carried out. The class diagram of the key module is defined, and the detailed method flow design for the main sub-services is given. The design and implementation of the system are completed. Finally, the function test of the prototype system of orderly charging service is carried out, and the test results show that the system basically accords with the requirement analysis. At the end of the paper, the research and development process of orderly charge scheduling service is summarized. And pointed out the future research direction.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.8

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