Prediction and optimization methods for electric vehicle charging schedules in the EDISON project

Andreas Aabrandt; Peter Bach Andersen; Anders Bro Pedersen; Shi You; Bjarne Poulsen; Niamh O'Connell; Jacob Østergaard

doi:10.1109/ISGT.2012.6175718

Prediction and optimization methods for electric vehicle charging schedules in the EDISON project

Andreas Aabrandt, Peter Bach Andersen, Anders Bro Pedersen, Shi You, Bjarne Poulsen, Niamh O'Connell, Jacob Østergaard

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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.

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	https://doi.org/10.1109/ISGT.2012.6175718
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

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10.1109/ISGT.2012.6175718

http://www.ieee-isgt.org/

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@inproceedings{caf75beccd594d3085691b2a3b9fbb46,

title = "Prediction and optimization methods for electric vehicle charging schedules in the EDISON project",

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 ofEDISON 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.",

author = "Andreas Aabrandt and Andersen, {Peter Bach} and Pedersen, {Anders Bro} and Shi You and Bjarne Poulsen and Niamh O'Connell and Jacob {\O}stergaard",

year = "2012",

doi = "10.1109/ISGT.2012.6175718",

language = "English",

isbn = "9781457721588",

booktitle = "2012 IEEE PES Innovative Smart Grid Technologies (ISGT)",

publisher = "IEEE",

address = "United States",

note = "IEEE PES Conference on Innovative Smart Grid Technologies (ISGT), ISGT ; Conference date: 16-01-2012 Through 20-01-2012",

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Aabrandt, A, Andersen, PB , Pedersen, AB , 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, IEEE PES Conference on Innovative Smart Grid Technologies (ISGT), Washington, D.C., United States, 16/01/2012. https://doi.org/10.1109/ISGT.2012.6175718

Prediction and optimization methods for electric vehicle charging schedules in the EDISON project. / Aabrandt, Andreas; Andersen, Peter Bach ; Pedersen, Anders Bro ; You, Shi; Poulsen, Bjarne; O'Connell, Niamh; Østergaard, Jacob.

2012 IEEE PES Innovative Smart Grid Technologies (ISGT). IEEE, 2012.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Prediction and optimization methods for electric vehicle charging schedules in the EDISON project

AU - Aabrandt, Andreas

AU - Andersen, Peter Bach

AU - Pedersen, Anders Bro

AU - You, Shi

AU - Poulsen, Bjarne

AU - O'Connell, Niamh

AU - Østergaard, Jacob

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N2 - 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 ofEDISON 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.

AB - 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 ofEDISON 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.

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BT - 2012 IEEE PES Innovative Smart Grid Technologies (ISGT)

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