中国电力 ›› 2016, Vol. 49 ›› Issue (7): 118-121.DOI: 10.11930/j.issn.1004-9649.2016.07.118.04

• 新能源 • 上一篇    下一篇

考虑低碳收益的电动汽车充电站选址规划

程宏波, 肖永乐, 王勋, 伦利   

  1. 华东交通大学 电气与自动化工程学院,江西 南昌 330013
  • 收稿日期:2015-12-21 出版日期:2016-07-20 发布日期:2016-07-28
  • 作者简介:程宏波(1979—),男,湖北随州人,博士,副教授,从事智能电网的互动及其控制研究。E-mail: waitingbo@126.com
  • 基金资助:
    国家自然科学基金资助项目(51267004); 江西省自然科学基金资助项目(20132BAB216027); 江西省教育厅基金资助项目(GJJ13356)

Site Planning of EV Charging Station by Considering Low Carbon Emission

CHENG Hongbo, XIAO Yongle, WANG Xun, LUN Li   

  1. School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China
  • Received:2015-12-21 Online:2016-07-20 Published:2016-07-28
  • Supported by:
    This work is supported by National Natural Science Foundation of China(No; 51267004); National Natural Science Foundation of Jiangxi Province (No; 20132BAB216027); Fund of Jiangxi Education Department (No; GJJ13356)

摘要: 电动汽车充电站选址规划,不仅考虑运营成本最小,而应以收益最大化为规划的最终目标,考虑收益时不仅要考虑经济收益,还应考虑在节能减排方面产生的社会收益。建立了计及低碳收益的充电站选址规划模型,重点考虑充电站建成后的社会收益,从法律政策、技术改革、市场环境3个方面分析了影响社会收益的因素,对建立的考虑社会收益的电动汽车充电站选址规划模型,采用微分进化算法对其进行求解,并针对某一具体案例进行仿真分析。

关键词: 电动汽车, 充电站, 选址规划, 低碳收益, 收益最大化, 微分进化算法

Abstract: As a kind of investment, site planning of electric vehicle (EV) charging station should not only consider the minimized operating costs, but also aim to obtain the maximize profit. Based on the emerging technologies, the largest social benefits in saving energy and emission reduction must be included by considering the comprehensive benefits instead of only economic angle. According to this theory, the model of the benefits of emission-reduction has been considered in the site planning of EV charging station. The benefit of environment is particularly emphasized after the charging station being completed. The three affected aspects, which are the legal policy, technical reform and the market, are analyzed. The model of site planning of EV charging station regarding the emission benefit is built. The maximum earnings which contains the benefits of low carbon emission is calculated by the differential evolution (DE) algorithm. The results of simulations and experiments demonstrated that the model of site planning of EV charging station is reasonable and conform to the regional planning of urban and the distribution of the EV rallying point, and also, the effective reference for site planning of EV charging station is provided.

Key words: electric vehicle, charging, site planning, low carbon yield, the maximize profit, differential evolution algorithm

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