DocumentCode
2940923
Title
Optimal electric vehicles to grid power control for active demand services in distribution grids
Author
Giorgio, Alessandro Di ; Liberati, Francesco ; Canale, Silvia
Author_Institution
Dept. of Comput., Control, & Manage. Eng. Antonio Ruberti, Sapienza Univ. of Rome, Rome, Italy
fYear
2012
fDate
3-6 July 2012
Firstpage
1309
Lastpage
1315
Abstract
In this paper we outline a novel approach for the design of an electric vehicle (EV) aggregator, a controller whose objective is to optimally manage the charging operations of an EV fleet. The control strategy we derive is based on model predictive control and allows to achieve costs minimization, also enabling the aggregator (hence, the EV fleet) to participate to the provisioning of active demand services to upper level market players. Explicative simulations are presented and discussed in order to show the effectiveness of the approach and also to investigate the role of vehicle to grid power.
Keywords
electric vehicles; power control; power grids; predictive control; EV fleet; active demand services; control strategy; controller; costs minimization; distribution grids; electric vehicle aggregator; grid power control; optimal electric vehicles; predictive control; vehicle to grid power; Batteries; Discharges (electric); Electricity; Minimization; Optimization; Substations; Vehicles; Electrical vehicles; active demand; demand side management; vehicle to grid power;
fLanguage
English
Publisher
ieee
Conference_Titel
Control & Automation (MED), 2012 20th Mediterranean Conference on
Conference_Location
Barcelona
Print_ISBN
978-1-4673-2530-1
Electronic_ISBN
978-1-4673-2529-5
Type
conf
DOI
10.1109/MED.2012.6265820
Filename
6265820
Link To Document