Abstract
Smart charging, where the charging of an electric vehicle battery is delayed or advanced in time based on energy costs, grid capacity or renewable contents, has a great potential for increasing the value of the electric vehicle to the owner, the grid and society as a whole. The Danish EDISON project has been launched to investigate various areas relevant to electric vehicle integration. As part of
EDISON an electric vehicle aggregator has been developed to demonstrate smart charging of electric vehicles. The emphasis of this paper is the mathematical methods on which the EDISON aggregator is based. This includes an analysis of the problem of EV driving prediction and charging optimization, a description of the mathematical models implemented and an evaluation of the accuracy of such models. Finally, additional optimization considerations as well as possible future extensions will be explored. This paper hopes to contribute to the field of EV integration by coupling optimized EV charging coordination with the EV utilization predictions on which the former heavily relies.
EDISON an electric vehicle aggregator has been developed to demonstrate smart charging of electric vehicles. The emphasis of this paper is the mathematical methods on which the EDISON aggregator is based. This includes an analysis of the problem of EV driving prediction and charging optimization, a description of the mathematical models implemented and an evaluation of the accuracy of such models. Finally, additional optimization considerations as well as possible future extensions will be explored. This paper hopes to contribute to the field of EV integration by coupling optimized EV charging coordination with the EV utilization predictions on which the former heavily relies.
| Original language | English |
|---|---|
| Title of host publication | 2012 IEEE PES Innovative Smart Grid Technologies (ISGT) |
| Number of pages | 7 |
| Publisher | IEEE |
| Publication date | 2012 |
| ISBN (Print) | 9781457721588 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | IEEE PES Conference on Innovative Smart Grid Technologies (ISGT) - Washington, D.C., United States Duration: 16 Jan 2012 → 20 Jan 2012 Conference number: 3 |
Conference
| Conference | IEEE PES Conference on Innovative Smart Grid Technologies (ISGT) |
|---|---|
| Number | 3 |
| Country | United States |
| City | Washington, D.C. |
| Period | 16/01/2012 → 20/01/2012 |
Cite this
Aabrandt, A., Andersen, P. B., Pedersen, A. B., You, S., Poulsen, B., O'Connell, N., & Østergaard, J. (2012). Prediction and optimization methods for electric vehicle charging schedules in the EDISON project. In 2012 IEEE PES Innovative Smart Grid Technologies (ISGT) IEEE. https://doi.org/10.1109/ISGT.2012.6175718