电动汽车有序充电及充换电设施能效研究

发布时间：2018-04-05 22:07

本文选题：电动汽车　切入点：负荷预测　出处：《华北电力大学》2014年硕士论文

【摘要】：电动汽车已经进入快速发展时期,无序充电给电网带来很大影响,本文依托项目结合调研开展电动汽车有序充电研究。本文首先研究电动汽车负荷预测方法,在分析影响负荷预测因素的前提下,将电动汽车用户按照行驶规律分类为固定式充电用户和随机式充电用户。对固定式用户提出基于模糊聚类分析的负荷预测方法,对随机式用户提出基于蒙特卡洛模拟的负荷预测方法,通过算例验证所提方法具有一定准度。结合负荷预测方法研究,本文提出基于电价的有序引导和有序控制策略。在有序引导方面,提出峰谷电价和分区电价模型,结合充电价格弹性矩阵说明峰谷电价和分区电价对用户充电行为在时间和空间上的引导。在有序控制方面,提出基于分时电价的有序控制策略,通过控制用户充电成本最小,对用户接入到离开这一时间段进行有序充电控制,仿真算例表明,该策略在一定程度上能降低电网负荷波动,减少负荷峰谷差,且当电动汽车大规模接入,“削峰填谷”效果更加明显。电动汽车的快速发展,人们也开始关注充换电设施的能效问题。本文最后对电动汽车充换电设施能效评估进行研究,提出了一种能效评价方法,建立了一套能效评估体系。本文首先对能效影响因素进行分析,提出能效评价指标,基于模糊集理论提出能效评价方法,采用递阶综合思想建立充换电网络能效评估体系。在仿真算例中,该评估体系能较好的体现电动汽车充换电设施网络能效水平。
[Abstract]:Electric vehicle has entered a rapid development period, disordered charging has a great impact on the power grid, this paper based on the project combined with research to carry out a research on the ordered charging of electric vehicles.In this paper, the load forecasting method of electric vehicle is studied firstly. On the premise of analyzing the influencing factors of load forecasting, the users of electric vehicle are classified into fixed charging users and random charging users according to the driving law.A load forecasting method based on fuzzy clustering analysis is proposed for fixed users, and a load forecasting method based on Monte Carlo simulation is proposed for random users. A numerical example is given to verify the accuracy of the proposed method.Combined with the research of load forecasting method, this paper puts forward orderly guidance and orderly control strategy based on electricity price.In the aspect of orderly guidance, the peak-valley price model and the partitioned price model are proposed, and combined with the charging price elasticity matrix, the guidance of peak-valley price and zonal price to the user charging behavior in time and space is explained.In the aspect of orderly control, an orderly control strategy based on time-sharing price is put forward. By controlling the minimum charging cost of the user, the orderly charging control is carried out on the user's access to the left time period. The simulation example shows that,To a certain extent, the strategy can reduce the load fluctuation and the load peak and valley difference, and when the electric vehicle is connected on a large scale, the effect of "cutting peak and filling valley" is more obvious.With the rapid development of electric vehicles, people begin to pay attention to the energy efficiency of charging and switching facilities.In the end of this paper, an energy efficiency evaluation method is proposed and a set of energy efficiency evaluation system is established.In this paper, the influencing factors of energy efficiency are analyzed, and the evaluation index of energy efficiency is put forward. Based on the fuzzy set theory, the energy efficiency evaluation method is put forward, and the energy efficiency evaluation system of charging and switching network is established by using hierarchical comprehensive thought.In the simulation example, the evaluation system can better reflect the network energy efficiency level of electric vehicle charging and switching facilities.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U469.72;TM910.6

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