Abstract
Electric Vehicles (EVs) can, when they are not used for driving, create value for the EV owner, by delivering ancillary services to the transmission system operator. Calculating potential earnings from grid services and charging strategies highly depends on the driving time, driving distance, and time spent at different locations. While few datasets describing EV usage exist, this work is based on one of the most extensive datasets gathered from 7,163 Nissan LEAFs. Using the real driving and charging data it was possible to calculate the value of a specific charging strategy for the individual EV. The EV dataset was used in a simulation based on British electricity transmission network operating codes and frequency measurement data. The outcome is the profit from frequency regulation for each EV in the data-set, which is found to range between 50 and 350 £/year, because of the large difference in the EV usage.
Original language | English |
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Title of host publication | Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe |
Number of pages | 5 |
Publisher | IEEE |
Publication date | 2019 |
Article number | 8905679 |
ISBN (Print) | 9781538682180 |
DOIs | |
Publication status | Published - 2019 |
Event | 2019 IEEE PES Innovative Smart Grid Technologies Europe - Universitatea Politehnica din București, Bucharest, Romania Duration: 29 Sept 2019 → 2 Oct 2019 Conference number: 8 http://sites.ieee.org/isgt-europe-2019/ https://ieeexplore.ieee.org/xpl/conhome/8892271/proceeding |
Conference
Conference | 2019 IEEE PES Innovative Smart Grid Technologies Europe |
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Number | 8 |
Location | Universitatea Politehnica din București |
Country/Territory | Romania |
City | Bucharest |
Period | 29/09/2019 → 02/10/2019 |
Internet address |
Keywords
- Ancillary Services
- Battery degradation
- Electric Vehicles
- Frequency Control
- Vehicle-to-Grid