Driving Pattern Analysis for Electric Vehicle (EV) Grid Integration Study

Qiuwei Wu, Arne Hejde Nielsen, Jacob Østergaard, Seung-Tae Cha, Francesco Marra, Yu Chen, Chresten Træholt

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


In order to facilitate the integration of electric vehicles (EVs) into the Danish power system, the driving data in Denmark were analyzed to extract the information of driving distances and driving time periods which were used to represent the driving requirements and the EV unavailability. The Danish National Transport Survey data (TU data) were used to implement the driving data analysis. The average, minimum and maximum driving distances were obtained for weekdays, weekends and holidays to illustrate the EV users’ driving requirements in different days. The EV availability data were obtained from the driving time periods to show how many cars are available for charging and discharging in each time period. The obtained EV availability data are in one hour time periods and one quarter time periods for different study purposes. The EV availability data of one hour time period are to be used for optimal EV charging study in energy power market. The EV availability data of quarter time periods are to be used to investigate the possibility of utilizing EVs for providing regulation power. The statistical analysis software, SAS, was used to carry out the driving data analysis.
Original languageEnglish
Title of host publicationIEEE PES Conference on Innovative Smart Grid Technologies Europe
Publication date2010
ISBN (Print)978-1-4244-8508-6
Publication statusPublished - 2010
Event1st IEEE PES Conference on Innovative Smart Grid Technologies Europe - Lindholmen Science Park, Gothenburg, Sweden
Duration: 11 Oct 201013 Oct 2010
Conference number: 1


Conference1st IEEE PES Conference on Innovative Smart Grid Technologies Europe
LocationLindholmen Science Park
Internet address

Bibliographical note

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  • Driving Distance
  • SAS
  • Regulation Power
  • EV Charging and Discharging
  • Electric Vehicles (EVs)
  • EV Availability
  • Energy Power Market

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