Title :
Electric vehicle charging strategy based on a dynamic programming algorithm
Author :
Sarabi, Siyamak ; Kefsi, Laid
Author_Institution :
Electr. Eng. Dept., IFP Energies Nouvelles, Rueil-Malmaison, France
Abstract :
Increased number of electric vehicles (EV) in the near future brings some evident challenges. Electricity producers and managers both are thinking about new solutions to reduce the upcoming problems. Peak shaving and valley filling of the daily load profile (DLP) as a potential solution has been discussed in this paper. Thanks to a dynamic programming algorithm, a charging schedule is dedicated to each vehicle. A management of charging/discharging/no charging has been proposed by this algorithm, with the aim of peak demand reduction and load leveling.
Keywords :
battery powered vehicles; dynamic programming; load management; secondary cells; DLP; charging management; charging schedule; daily load profile; discharging management; dynamic programming algorithm; electric vehicle charging strategy; load leveling; no charging management; peak demand reduction; peak shaving; valley filling; Batteries; Dynamic programming; Electric vehicles; Heuristic algorithms; Schedules; System-on-chip; Dynamic Programming; Electric Vehicle; Management system; Peack Shaving and Valley Filling; Vehicle-to-Grid;
Conference_Titel :
Intelligent Energy and Power Systems (IEPS), 2014 IEEE International Conference on
Conference_Location :
Kyiv
Print_ISBN :
978-1-4799-2265-9
DOI :
10.1109/IEPS.2014.6874180