Driving pattern analysis of Nordic region based on the national travel surveys for electric vehicle integration

Zhaoxi Liu, Qiuwei Wu, Linda Christensen, Antti Rautiainen, Yusheng Xue

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Abstract

EVs show great potential to cope with the intermittency of renewable energy sources (RES) and provide demand side flexibility required by the smart grid.On the other hand, the EVs will increase the electricity consumption. Large scale integration of EVs will probably have substantial impacts to the power system. This paper presents a methodology to transform driving behavior of persons into the one of cars in order to analyze the driving pattern of electric vehicles (EVs) based on the National Travel Surveys. In the proposed methodology, a statistical process is used to obtain the driving behavior of cars by grouping the survey respondents according to the driving license number and car number and mapping the households with similar characteristics. The proposed methodology was used to carry out the driving pattern analysis in the Nordic region. The detailed driving requirements and the charging/discharging availability of the vehicles along the day were obtained. Two types of EV availabilities were studied in this paper considering different charging/discharging conditions of EVs for the power system integration, i.e. EV availability all day andEV availability at home. The results show that the daily driving requirements of the Nordic region are not very intensive. The driving patterns of the vehicles in the Nordic region vary on weekdays and weekends. The two types of EV availabilities are quite different from each other.
Original languageEnglish
JournalJournal of Modern Power Systems and Clean Energy
Volume3
Issue number2
Pages (from-to)180–189
ISSN2196-5625
DOIs
Publication statusPublished - 2015

Bibliographical note

© The Author(s) 2015 This article is published with open access at Springerlink.com

Keywords

  • Driving pattern
  • Electric vehicles (EVs)
  • EV availability
  • Nordic
  • Power system integration

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