规模化区域电动乘用车负荷估算研究

发布时间：2018-01-12 06:24

本文关键词：规模化区域电动乘用车负荷估算研究　出处：《北京交通大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着电动汽车技术及其充电设施的不断成熟,电动汽车将越来越广泛地应用于人们的日常生活之中,在电动汽车规模化发展之后,电动汽车庞大的充电负荷将成为电网负荷的重要组成部分。为了保证电网能够较好地满足规模化发展的电动汽车充电需求,同时避免和减小电动汽车充电对电网正常运行造成不良影响,有必要对区域电动乘用车的充电负荷估算方法进行研究,以满足电动乘用车有序充电控制和能量管理相关研究的需要。电动汽车充电站是电动汽车产业的重要支撑系统,虽然目前电动汽车还处于示范运营阶段,但在其广泛的应用前景下,需要科学合理地对充电站进行规划配置。本文分析燃油出租车和燃油私家车的出行特征,假定电动汽车替代燃油车不会影响电动汽车用户的出行特征,得到电动乘用车的充电特征,结果表明,电动私家车与电动出租车在充电开始时刻和行驶里程方面具有不同的分布规律。针对电动出租车充电特征的随机性,采用基于概率模型的统计学建模方法,建立电动出租车日充电负荷的分段概率估算模型,用蒙特卡罗仿真方法求得电动出租车的日充电负荷。根据南方某城市出租车的充电运营数据,采用充电负荷的分段概率估算模型得到出租车日充电负荷并与实际负荷对比,结果表明,该建模方法具有可信性。研究电动乘用车充电负荷估算方法,并根据南方某城市2015年和2020年电动乘用车发展状况估算规模化区域电动乘用车的日充电负荷,结果表明,到2020年,电动乘用车充电负荷占南方某城市电网中负荷的比例不大。在分析电动汽车充电行为的基础上,基于排队论理论建立充电设施服务系统排队模型,以充电设施服务系统总费用最小为目标函数建立充电设施费用最优模型,得到最优充电设施配置,并分析站内充电设施配置对充电负荷的影响。
[Abstract]:With the development of electric vehicle technology and its charging facilities, electric vehicle will be more and more widely used in people's daily life, after the development of electric vehicle scale. The huge charge load of electric vehicle will become an important part of power grid load. In order to ensure that the power grid can meet the demand of large-scale development of electric vehicle charging. At the same time, to avoid and reduce the adverse impact of electric vehicle charging on the normal operation of the grid, it is necessary to study the charging load estimation method of regional electric passenger vehicle. Electric vehicle charging station is an important supporting system of electric vehicle industry, although the electric vehicle is still in the stage of demonstration operation. However, it is necessary to plan and dispose the charging station scientifically and reasonably under the prospect of its wide application. This paper analyzes the travel characteristics of fuel taxis and fuel private cars, assuming that the alternative fuel vehicles of electric vehicles will not affect the travel characteristics of electric vehicle users, and get the charging characteristics of electric passenger cars. The results show that. Electric private cars and electric taxis have different distribution at the beginning of charging and driving mileage. Aiming at the randomness of the charging characteristics of electric taxis, a piecewise probability estimation model of daily charging load of electric taxis is established by using the statistical modeling method based on probability model. The daily charging load of electric taxi is calculated by Monte Carlo simulation method. By using the piecewise probability estimation model of charging load, the daily charging load of taxi is obtained and compared with the actual load. The results show that the modeling method is credible. The charging load estimation method of electric passenger car is studied, and the daily charge load of electric passenger car in large-scale area is estimated according to the development of electric passenger car in a southern city on 2015 and 2020. By 2020, the charge load of electric passenger car is not much in a southern city power grid. Based on the analysis of charging behavior of electric vehicles, the queuing model of charging facility service system is established based on queuing theory. Taking the minimum total cost of charging facility service system as the objective function, the optimal model of charging facility cost is established, the optimal charging facility configuration is obtained, and the influence of charging facility configuration on charging load is analyzed.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM910.6;U469.72

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