• DocumentCode
    20743
  • Title

    Exact Penalty Function Based Constraint Relaxation Method for Optimal Power Flow Considering Wind Generation Uncertainty

  • Author

    Tao Ding ; Rui Bo ; Fangxing Li ; Yang Gu ; Qinglai Guo ; Hongbin Sun

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
  • Volume
    30
  • Issue
    3
  • fYear
    2015
  • fDate
    May-15
  • Firstpage
    1546
  • Lastpage
    1547
  • Abstract
    This letter presents a constraint relaxation optimal power flow (OPF) model to tackle the issues when traditional OPF is infeasible under large variations such as wind generation output. In this model, the original hard constraints are relaxed into soft constraints and the objective function is adjusted for the cost of constraint violations. To guarantee the equivalence to the original OPF model when there are feasible solutions, an exact penalty function method is introduced to justify the selection of penalty factor of constraint violations. By solving an optimization problem, the lower bound of the proper penalty factor is obtained. The results of a 6-bus test system show that the proposed method achieves the same solution when the original OPF has feasible region, and an optimal solution can be obtained with minimum constraint violation when original OPF has no feasible region. Lastly, three large IEEE systems are tested to verify the effectiveness of proposed method.
  • Keywords
    load flow; optimisation; power generation dispatch; power generation economics; wind power; 6-bus test system; constraint violations; exact penalty function based constraint relaxation method; optimal power flow; wind generation uncertainty; Generators; Linear programming; Optimization; Relaxation methods; Sun; Uncertainty; Wind power generation; Bi-level programming; Karush-Kuhn-Tucker (KKT) conditions; constraint relaxation; exact penalty function; optimal power flow (OPF); wind power;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2341177
  • Filename
    6874597