Real-time scheduling of electric vehicles for ancillary services


== Abstract ==

© 2015 IEEE. This work is part of a project that aims to demonstrate the concept of Vehicle-to-Grid (V2G) with an operational fleet. A fleet of electric vehicles is operated with the objective of providing regulation services to the grid. The focus of this paper is on the real-time operation of the fleet. Specifically, given an optimal trajectory for the vehicle state of charge, schemes for distributing the regulation power commands among the vehicles are tested. A scheme based on a convex optimization problem is proposed. Several numerical illustrations and simulations show the effectiveness of the scheme respect to common scheduling heuristics in terms of accuracy.


== Original document ==

The different versions of the original document can be found in:

* [http://www.escholarship.org/uc/item/4tg7c5px http://www.escholarship.org/uc/item/4tg7c5px]

* [https://escholarship.org/content/qt4tg7c5px/qt4tg7c5px.pdf?t=otcan8 https://escholarship.org/content/qt4tg7c5px/qt4tg7c5px.pdf?t=otcan8]

* [https://escholarship.org/uc/item/4tg7c5px https://escholarship.org/uc/item/4tg7c5px]

* [http://xplorestaging.ieee.org/ielx7/7271236/7285590/07286093.pdf?arnumber=7286093 http://xplorestaging.ieee.org/ielx7/7271236/7285590/07286093.pdf?arnumber=7286093],
: [http://dx.doi.org/10.1109/pesgm.2015.7286093 http://dx.doi.org/10.1109/pesgm.2015.7286093]

* [https://escholarship.org/uc/item/4tg7c5px https://escholarship.org/uc/item/4tg7c5px],
: [https://academic.microsoft.com/#/detail/1638164931 https://academic.microsoft.com/#/detail/1638164931]