基于微电网的电动汽车换电站的规划模型研究

发布时间：2018-01-19 16:26

本文关键词： 电动汽车微电网电动汽车换电站保有量预测优化规划　出处：《上海应用技术学院》2015年硕士论文　论文类型：学位论文

【摘要】：随着能源危机与环境污染等问题的日益严重,全世界都在加快步伐开发新能源和推广电动汽车。但是,电动汽车仍主要依赖传统能源大电网供电的充电方式,并未从根本上真正的减少二氧化碳减排,此外充电基础设施缺乏,充电不方便也减小了消费者对电动汽车的青睐。另一方面绿色能源发电的技术已经日趋完善,但由于入网难等问题,使得新能源发电并未得到充分、有效利用。因此,研究将绿色分布式电源与电动汽车充电设施结合在一起,建立电动汽车充电基础设施城市优化规划的理论模型具有重要的现实意义。文章分别对电动汽车和微电网的发展现状做了简单介绍,详细分析了目前电动汽车三种不同蓄能方式的特点和适用范围。预测了未来电动汽车蓄能方式的发展方向。分析了以风电、太阳能发电为代表的绿色能源微电网与电动汽车基础设施建设的集成性。建立了依赖绿色能源微电网进行电池集中充电的电动汽车充、换电运营系统模型,同时,通过算例分析对比了该模式与基于大电网充电模式下的优势。研究了影响电动汽车换电站的需求预测的主要因素,提出了电动汽车保有量的预测方法,建立了基于建设不同规模等级的换电站的换电需求预测模型。重点研究了电动汽车换电站规划选址中的影响因素和选址原则。构建了以换电站服务半径和电动汽车换电需求为约束条件,以电动汽车换电站投资成本最小为目标函数的电动汽车换电站城区规划模型。利用粒子群算法实现优化规划模型计算,并通过模拟算例验证了本文提出的电动汽车换电站规划模型的正确性和有效性。
[Abstract]:With the increasingly serious problems of energy crisis and environmental pollution, the world is speeding up the pace of developing new energy sources and promoting electric vehicles. However, electric vehicles still mainly rely on the traditional power grid charging mode. It has not fundamentally reduced carbon dioxide emissions, and the lack of charging infrastructure and inconvenient charging has reduced consumers' preference for electric vehicles. On the other hand, green energy power generation technologies are becoming more and more sophisticated. However, due to the difficulties of access to the network, the new energy generation has not been fully and effectively utilized. Therefore, the study combines the green distributed power generation with the charging facilities of electric vehicles. It is of great practical significance to establish the theoretical model of urban optimization planning of electric vehicle charging infrastructure. This paper introduces the development status of electric vehicle and microgrid respectively. The characteristics and applicable range of three different energy storage modes of electric vehicles are analyzed in detail. The development direction of energy storage modes of electric vehicles in the future is forecasted, and the wind power is analyzed. The integration of green energy microgrid and electric vehicle infrastructure construction represented by solar power generation. The model of electric vehicle charging and switching operation system based on green energy microgrid is established. At the same time, the advantages of this model are compared with those based on the charging mode of large power grid. The main factors influencing the demand prediction of electric vehicle power station are studied, and the method of forecasting the quantity of electric vehicle is put forward. The forecasting model of power exchange demand based on different scale power station construction is established. The influencing factors and location principles of electric vehicle switching power station planning and location are studied emphatically. The service radius and electric steam of electric power exchange power station are constructed. The demand for electricity exchange is a constraint condition. Taking the minimum investment cost of electric vehicle power station as the objective function, the urban planning model of electric vehicle exchange power station is proposed. The particle swarm optimization algorithm is used to calculate the optimal planning model. A simulation example is given to verify the correctness and validity of the proposed model.
【学位授予单位】：上海应用技术学院
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.8

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