Electric Power ›› 2016, Vol. 49 ›› Issue (2): 141-147.DOI: 10.11930/j.issn.1004-9649.2016.02.140.07

• New Energy • Previous Articles     Next Articles

Analysis on Charging Behavior of Electric Taxis and Comparative Research of the Comprehensive Benefits in Multi-Region

ZHANG Xingping, RAO Rao, FENG Yifan   

  1. Economics and Management School, North China Electric Power University, Beijing 102206, China
  • Received:2015-10-19 Online:2016-02-18 Published:2016-03-21
  • Supported by:
    This work is supported by Science and Technology Project of Huaneng Power International Inc. (No. HNKJ14-G27).

Abstract: China has introduced a number of policies to promote the development of electric vehicles. As one of the important fields for development, electric taxis have consistency across regions in operating characteristics. However, the impacts of electric taxis on grid operation and the benefits in carbon emission reduction are different in different regions due to their differences in power structure, taxi ownership and others. Focusing on this issue, this paper firstly simulates the actual operation data of electric taxis based on Gaussian mixture model and obtains the general running characteristics of electric taxis. By taking five southern China provinces as examples, models are built respectively to analyze the impacts of electric taxis on the power load and carbon reductions with consideration of the power structure, power load and taxi fleet scale. The results show that large scale electric taxis can assist reducing the load fluctuations during the valley load time, but increase the load fluctuations during the peak load periods. At the same time, the rate of grid load is varied geographically due to the impacts of electric taxis. Moreover, the amounts of carbon emission reduction are significantly different among regions. This study is based on the empirical analysis and can provide a reference for the relevant researches.

Key words: electric vehicle, operating characteristics, peak/valley load, rate of grid load, carbon emission reduction

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