电池租赁模式下城区换电站布局模型研究

发布时间：2018-02-17 04:28

本文关键词： 电动汽车换电站网络布局优化层次分析法截流选址模型　出处：《北京交通大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着经济社会的发展,气候变化、能源和环境问题已经成为人类社会共同面对的长期问题,而采用新能源汽车尤其是电动汽车来替代传统燃油汽车以降低交通领域温室气体排放,作为应对全球气候变化的重要手段,为世界主要国家政府和组织所认可。我国作为世界能源消耗大国和环境保护的重要力量,正在积极实施电动汽车科技战略。然而在面临电动汽车价格昂贵,充换电基础设施不完善的情况下,电动汽车推广难度极大。本文在此背景下研究电动汽车换电站的布局优化问题。本文首先通过资料分析介绍了电动汽车及换电站的基本概念以及相关的选址理论,为后文做基础。通过对比分析电动汽车的各种充电方式,得出城区内构建“电池租赁”模式下的换电站具有相对的合理性。之后,文章详尽分析了“电池租赁”的商业运营模式,一方面这种模式将是电动汽车大量推广得以实现的前提,同时也为电动汽车换电站的选址背景和模型的目的和原则提供了依据。在换电站布局的模型构建方面,本文将其影响因素分为主观和目标两大类：对以人为因素为主的主观因素,本文主要将其归纳为便利性、辅助支撑和建站成本三方面因素,以它们为指标,通过层次分析法,专家进行评价,从而对候选站址确定权重；然后以最大化覆盖区域内的需求为目标,通过改进的截流选址模型,融入候选站址的权重构建模型。之后通过以青岛市崂山区为例,进行了模拟分析研究,研究结果表明本文提供的模型可以提供较优的选址方案,能够对现实生活中的换电站选址提供一定的决策支持。
[Abstract]:With the development of economy and society, the problems of climate change, energy and environment have become the long-term problems that human society faces together. The use of new energy vehicles, especially electric vehicles, to replace traditional fuel vehicles in order to reduce greenhouse gas emissions in transport, is an important means to combat global climate change. China, as a major energy consuming country in the world and an important force in environmental protection, is actively implementing the electric vehicle science and technology strategy. However, in the face of the high price of electric vehicles, It is very difficult to popularize electric vehicle under the condition of imperfect infrastructure. In this paper, the layout optimization of electric vehicle power station is studied in this context. In this paper, the basic concept of electric vehicle and power station and the related location theory are introduced through the analysis of data, which is the basis of the later article. Through the comparison and analysis of various charging modes of electric vehicle, It is concluded that it is relatively reasonable to build the power station under the "battery lease" mode in the urban area. After that, the commercial operation mode of "battery lease" is analyzed in detail. On the one hand, this mode will be the prerequisite for the extensive popularization of electric vehicles, and it will also provide the basis for the location background and the purpose and principle of the model. In this paper, the influencing factors are divided into subjective factors and objective factors. For the subjective factors based on human factors, this paper mainly concludes them as three factors: convenience, auxiliary support and station construction cost, taking them as indicators, and through the Analytical hierarchy process (AHP). The expert evaluates to determine the weight of the candidate site; then, aiming at maximizing the needs of the covered area, the model is constructed by incorporating the weight of the candidate site into the improved closure location model, and then taking Laoshan District of Qingdao City as an example. The results show that the proposed model can provide a better location scheme and provide a certain decision support for the location of power station in real life.
【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】：F426.61;F252

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