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.
|Title of host publication||IEEE PES Conference on Innovative Smart Grid Technologies Europe|
|Publication status||Published - 2010|
|Event||1st IEEE PES Conference on Innovative Smart Grid Technologies Europe - Lindholmen Science Park, Gothenburg, Sweden|
Duration: 11 Oct 2010 → 13 Oct 2010
Conference number: 1
|Conference||1st IEEE PES Conference on Innovative Smart Grid Technologies Europe|
|Location||Lindholmen Science Park|
|Period||11/10/2010 → 13/10/2010|
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- Driving Distance
- Regulation Power
- EV Charging and Discharging
- Electric Vehicles (EVs)
- EV Availability
- Energy Power Market