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

• New Energy • Previous Articles     Next Articles

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)

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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