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

doi:10.1109/ISGTEUROPE.2010.5751581

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 proceeding › Article in proceedings › Research › peer-review

Abstract

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 language	English
Title of host publication	IEEE PES Conference on Innovative Smart Grid Technologies Europe
Publisher	IEEE
Publication date	2010
ISBN (Print)	978-1-4244-8508-6
DOIs	https://doi.org/10.1109/ISGTEUROPE.2010.5751581
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 http://www.ieee-isgt-2010.eu/

Conference

Conference	1st IEEE PES Conference on Innovative Smart Grid Technologies Europe
Number	1
Location	Lindholmen Science Park
Country/Territory	Sweden
City	Gothenburg
Period	11/10/2010 → 13/10/2010
Internet address	http://www.ieee-isgt-2010.eu/

Bibliographical note

© 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Keywords

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

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10.1109/ISGTEUROPE.2010.5751581

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Cite this

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title = "Driving Pattern Analysis for Electric Vehicle (EV) Grid Integration Study",

abstract = "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{\textquoteright} 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.",

keywords = "Driving Distance, SAS, Regulation Power, EV Charging and Discharging, Electric Vehicles (EVs), EV Availability, Energy Power Market",

author = "Qiuwei Wu and Nielsen, {Arne Hejde} and Jacob {\O}stergaard and Seung-Tae Cha and Francesco Marra and Yu Chen and Chresten Tr{\ae}holt",

note = "{\textcopyright} 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.; 1st IEEE PES Conference on Innovative Smart Grid Technologies Europe, ISGT 2010 ; Conference date: 11-10-2010 Through 13-10-2010",

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language = "English",

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Wu, Q, Nielsen, AH, Østergaard, J, Cha, S-T, Marra, F, Chen, Y & Træholt, C 2010, Driving Pattern Analysis for Electric Vehicle (EV) Grid Integration Study. in IEEE PES Conference on Innovative Smart Grid Technologies Europe. IEEE, 1st IEEE PES Conference on Innovative Smart Grid Technologies Europe, Gothenburg, Sweden, 11/10/2010. https://doi.org/10.1109/ISGTEUROPE.2010.5751581

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AU - Østergaard, Jacob

AU - Cha, Seung-Tae

AU - Marra, Francesco

AU - Chen, Yu

AU - Træholt, Chresten

N1 - Conference code: 1

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N2 - 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.

AB - 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.

KW - Driving Distance

KW - SAS

KW - Regulation Power

KW - EV Charging and Discharging

KW - Electric Vehicles (EVs)

KW - EV Availability

KW - Energy Power Market

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DO - 10.1109/ISGTEUROPE.2010.5751581

M3 - Article in proceedings

SN - 978-1-4244-8508-6

BT - IEEE PES Conference on Innovative Smart Grid Technologies Europe

PB - IEEE

T2 - 1st IEEE PES Conference on Innovative Smart Grid Technologies Europe

Y2 - 11 October 2010 through 13 October 2010

ER -

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

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Conference

Bibliographical note

Keywords

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