DocumentCode :
2117044
Title :
Dynamic charging and discharging for electric vehicles in microgrids
Author :
Le, Tan N. ; Al-Rubaye, Saba ; Liang, Hao ; Choi, Bong Jun
Author_Institution :
Department of Computer Science, The State University of New York (SUNY) Korea, Korea
fYear :
2015
fDate :
8-12 June 2015
Firstpage :
2018
Lastpage :
2022
Abstract :
Electric vehicle (EV) charging and discharging management is an essential component of the smart grids, especially in microgrids due to the high dependence on the local energy sources. In order to provide EV users with freedom to charge and travel, we propose a dynamic scheduling algorithm that does not require EV users to inform their charging time to the control center. The proposed algorithm serves the charging requests from EVs in a best-effort manner while minimizing the energy cost of EV users and guaranteeing the grid related constraint of microgrid. Specifically, we formulate a stochastic optimization problem to minimize the energy cost of charging and discharging for each EV with respect to the same constraints of the proposed algorithm. The simulation results show that the proposed algorithm achieves energy cost better or close to that of the conventional methods without requiring the a-priori knowledge of load demand, renewable energy source (RES) output, and EV charging plans.
Keywords :
Batteries; Dynamic scheduling; Heuristic algorithms; Load modeling; Microgrids; Optimization; Smart grids;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Workshop (ICCW), 2015 IEEE International Conference on
Conference_Location :
London, United Kingdom
Type :
conf
DOI :
10.1109/ICCW.2015.7247477
Filename :
7247477
Link To Document :
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