• 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