Abstract
A model of the problem of charging and discharging electrical vehicles as a congestion game is presented. A generalization of congestion games - feedback congestion games (FCG) - is introduced. The charging of grid- integrated vehicles, which can also discharge energy back to the grid, is a natural FCG application. FCGs are proven to be exact potential games and therefore converge to a pure-strategy Nash equilibrium by an iterated better-response process. A compact representation and an algorithm that enable efficient best-response search are presented. A detailed empirical evaluation assesses the performance of the iterated best-response process. The evaluation considers the quality of the resulting solutions and the rate of convergence to a stable state. The effect of allowing to also discharge batteries using FCG is compared to scenarios that only include charging and is found to dramatically improve the predictability of the achieved solutions as well as the balancing of load.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the National Conference on Artificial Intelligence |
| Publisher | AI Access Foundation |
| Pages | 1440-1446 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781577356783 |
| State | Published - 1 Jan 2014 |
| Event | 28th AAAI Conference on Artificial Intelligence, AAAI 2014, 26th Innovative Applications of Artificial Intelligence Conference, IAAI 2014 and the 5th Symposium on Educational Advances in Artificial Intelligence, EAAI 2014 - Quebec City, Canada Duration: 27 Jul 2014 → 31 Jul 2014 |
Publication series
| Name | Proceedings of the National Conference on Artificial Intelligence |
|---|---|
| Volume | 2 |
Conference
| Conference | 28th AAAI Conference on Artificial Intelligence, AAAI 2014, 26th Innovative Applications of Artificial Intelligence Conference, IAAI 2014 and the 5th Symposium on Educational Advances in Artificial Intelligence, EAAI 2014 |
|---|---|
| Country/Territory | Canada |
| City | Quebec City |
| Period | 27/07/14 → 31/07/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
ASJC Scopus subject areas
- Software
- Artificial Intelligence
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