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
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;
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
DOI :
10.1109/MED.2012.6265820
