• DocumentCode
    1447458
  • Title

    Coordination of Midterm Outage Scheduling With Short-Term Security-Constrained Unit Commitment

  • Author

    Fu, Yong ; Li, Zuyi ; Shahidehpour, Mohammad ; Zheng, Tongxin ; Litvinov, Eugene

  • Author_Institution
    Electr. & Comput. Eng. Dept., Illinois Inst. of Technol., Chicago, IL, USA
  • Volume
    24
  • Issue
    4
  • fYear
    2009
  • Firstpage
    1818
  • Lastpage
    1830
  • Abstract
    The proposed model solves the coordinated generation and transmission maintenance scheduling with security-constrained unit commitment (SCUC) over the scheduling horizon of weeks to months. The model applies the Lagrangian relaxation technique to decompose the optimization problem into subproblems for generation maintenance scheduling, transmission maintenance scheduling, and short-term SCUC. The decomposition and cooperation strategy is applied to the first two subproblems for the scheduling of generation and transmission maintenance. The SCUC solution is based on the mixed integer programming (MIP) technique. The optimal hourly results for maintenance scheduling, generation unit commitment, and transmission flows are obtained using a chronological load curve. Effective strategies are applied for accelerating the convergence of the hourly solution. The numerical examples demonstrate the effectiveness of the proposed model.
  • Keywords
    integer programming; maintenance engineering; power generation planning; power generation scheduling; power system security; power transmission planning; relaxation theory; Lagrangian relaxation technique; MIP technique; coordinated generation maintenance scheduling; coordinated transmission maintenance scheduling; midterm outage scheduling; mixed integer programming; optimization problem; security-constrained unit commitment; short-term SCUC; short-term operation planning; transmission flows; Generation and transmission maintenance scheduling; Lagrangian relaxation; mixed integer programming; security-constrained unit commitment;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2009.2030289
  • Filename
    5256173