Pricing model for the charging of electric vehicles based on system dynamics in Beijing

被引:43
|
作者
Zhang, Xingping [1 ,2 ]
Liang, Yanni [1 ]
Liu, Wenfeng [1 ]
机构
[1] North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
[2] Res Ctr Beijing Energy Dev, Beijing 102206, Peoples R China
基金
中国国家社会科学基金; 北京市自然科学基金; 中国国家自然科学基金;
关键词
Electric vehicles; Greenhouse gas emissions; Real-time charge pricing; System dynamics; DEMAND; MANAGEMENT; PATTERNS; BEHAVIOR; STRATEGY; IMPACTS;
D O I
10.1016/j.energy.2016.12.057
中图分类号
O414.1 [热力学];
学科分类号
摘要
This paper proposes a system dynamics model to develop a real-time charge pricing (RCP) mechanism of electric vehicles (EVs). The model includes six modules: power consumption of EVs, generator set dispatching, charge pricing, user response, benefit evaluation of all stakeholders and charging stations' life cycle net income. We consider four charge pricing scenarios and design a RCP mechanism for Beijing according to the simulation results. Sensitivity analysis proves that the model is robust, and the increased charging power of EVs is beneficial for charging service operators. The empirical results indicate that RCP based on the peak-valley time-of-use tariff is propitious for the existing development scale of EVs. In addition, the government subsidies are important to drive EV development in the initial period. However, it should be phased out to reduce the financial burden accompanying the amplification of the scale of EVs. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:218 / 234
页数:17
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