DocumentCode :
135283
Title :
Distributed electric vehicles cooperative charge control with wind power
Author :
Chengcheng Shao ; Xifan Wang
Author_Institution :
Dept. of Electr. Eng., Xi´an Jiaotong Univ., Xi´an, China
fYear :
2014
fDate :
27-31 July 2014
Firstpage :
1
Lastpage :
5
Abstract :
Load dispatch such as electric vehicles (EVs) is considered as a promising approach to promote the integration of wind power. In this paper, a distributed framework is proposed to coordinate a large number of EVs with wind power based on stochastic dual programming theory. Lagrangian Relaxation (LR) and Auxiliary Problem principle are adopted in the problem decomposition. Compared with existing distributed methods, the proposed method gains an advantage in minimizing generation cost and is proper for masses of EVs. In addition, it can depose of non-convex problems with coupling constraints and it is with larger applications. The method is verified feasible and valid by the case study on IEEE-RTS.
Keywords :
distributed control; electric vehicles; load dispatching; power generation economics; secondary cells; stochastic programming; wind power plants; EV; IEEE-RTS; LR; Lagrangian relaxation; auxiliary problem principle; distributed electric vehicle cooperative charge control; generation cost; load dispatch; nonconvex problems; stochastic dual programming theory; wind power; Biological system modeling; Couplings; Discharges (electric); Indexes; Stochastic processes; Wind farms; Wind power generation; Cooperative charge control; Lagrangian Relaxation; electric vehicles; stochastic wind power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
Type :
conf
DOI :
10.1109/PESGM.2014.6939226
Filename :
6939226
Link To Document :
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