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工程科学与技术:2020,52(4):33-41
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泛在电力物联网下电动汽车充电服务费定价模型
(四川大学 电气工程学院,四川 成都 610065)
Pricing Model of Electric Vehicle Charging in Electrical Internet of Things
(College of Electrical Eng., Sichuan Univ., Chengdu 610065, China)
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投稿时间:2019-11-18    修订日期:2020-06-19
中文摘要: 针对现有充电服务难以定量定价的问题,提出了一种基于系统动力学的充电服务费定价模型。首先,分析了充电服务网在泛在电力物联网定位及多主体关系;然后,综合考虑社会发展、人口增长、电动汽车规模、科学水平、充电桩数量、建设成本等多维因素,量化多维因素之间的因果关系,由此建立充电服务费定价的系统动力学模型,得到充电服务费价格未来的变化趋势,并分析不同因素对充电服务费价格的影响。根据设置的参数值和不同场景,对充电服务费价格和变化趋势进行仿真。仿真结果发现:在算例场景设置条件下,电动汽车充电服务费的变化曲线呈现V型,前期阶段充电服务费价格逐渐降低至最低,主要受到政府补贴政策的影响;中间阶段充电服务费缓慢增加,原因是政府补贴的不断衰减、充电服务网络进一步完善,新增充电设施增加了建设成本;后期充电服务费变化逐渐稳定,基础设施的建设成本成为影响充电服务费最主要的因素,充电量的变化在一定程度上也会影响充电服务费的定价。本文为充电服务定价问题提供了一种具有可操作性的宏观动力学定量分析模型,为未来充电服务网运营与规划提供了参考。
Abstract:In order to address the issue that the charging service is difficult to make quantitative price, apricing model of electric vehicle charging service based on system dynamics was proposed. The location of charging service network in the Electrical Internet of Things and the relationship between multiple subjects were first analyzed. Then, some other multi-dimension factors were took into account, such as social development, population growth, the scale of the electric vehicle, scientific level, the quantity of charging piles, construction costs, and afterwards the causality between multi-dimensional factors based on historical data was quantified. Finally, a system dynamics simulation model of charging service price was established, then the charging service price was obtained from the model and the impact of various factors on charging service price was analyzed. According to the initial value of the set parameters and different scenarios, the price of charging service and the trend of change was simulated. The simulation results showed that the change curve of electric vehicle charging service price appears to be V-shaped under the setting conditions in the example scenario. In the early stage, the price of charging service decreases gradually, which is mainly affected by the government subsidy policy. In the middle stage, the price increases slightly. The reason is that the government subsidy policy has been continuously weakened, and the charging service network has been further improved, and the newly-built charging facilities have led to an increase in the construction cost. In the later period, the charging service price gradually stabilizes and fluctuates at the peak. At this time, the charging service price is mainly affected by construction cost. The paper provides an operational macro dynamic quantitative analysis model for charging service price, which provides a reference for the operation and planning of charging service network in the future.
文章编号:201901118     中图分类号:TM715    文献标志码:
基金项目:国家自然科学基金项目(51807127);四川省科技计划项目(2019YFH0171;20SYSX0233)
作者简介:刘继春(1975-),男,教授,博士. 研究方向:电力市场;电力物联网. E-mail:jichunliu@scu.edu.cn
引用文本:
刘继春,贾琢玉,向月,杨昕然,刘俊勇.泛在电力物联网下电动汽车充电服务费定价模型[J].工程科学与技术,2020,52(4):33-41.
LIU Jichun,JIA Zhuoyu,XIANG Yue,YANG Xinran,LIU Junyong.Pricing Model of Electric Vehicle Charging in Electrical Internet of Things[J].Advanced Engineering Sciences,2020,52(4):33-41.