• DocumentCode
    1453230
  • Title

    Fast Identification of Inactive Security Constraints in SCUC Problems

  • Author

    Zhai, Qiaozhu ; Guan, Xiaohong ; Cheng, Jinghui ; Wu, Hongyu

  • Author_Institution
    MOE KLINNS Lab., Xi´´an Jiaotong Univ., Xi´´an, China
  • Volume
    25
  • Issue
    4
  • fYear
    2010
  • Firstpage
    1946
  • Lastpage
    1954
  • Abstract
    Security constrained unit commitment (SCUC) is one of the most important daily tasks that independent system operators (ISOs) or regional transmission organizations (RTOs) must accomplish in daily electric power market. Security constraints have long been regarded as difficult constraints for unit commitment problems. If the inactive security constraints can be identified and eliminated, the SCUC problem can be greatly simplified. In this paper, a necessary and sufficient condition for a security constraint to be inactive is established. It is proved that all inactive constraints can be identified by solving a series of small-scale mixed integer linear programming (MILP) problems. More importantly, an analytical sufficient condition is established and most of the inactive constraints can be quickly identified without solving MILP or linear programming (LP) problems. A very important feature of the conditions obtained is that they are only related to the load demands and parameters of the transmission network. Numerical testing is performed for three power grids and the results are impressive. Over 85% of the security constraints are identified as inactive and the crucial transmission lines affecting the total operating cost are among those associated with the remaining security constraints, providing useful information for transmission planning.
  • Keywords
    integer programming; linear programming; numerical analysis; power generation dispatch; power grids; power markets; power system security; power transmission lines; power transmission planning; SCUC problem; electric power market; inactive security constraint; independent system operator; mixed integer linear programming; numerical testing; power grids; regional transmission organization; security constrained unit commitment; transmission lines; transmission network; transmission planning; Costs; Information security; Linear programming; Mixed integer linear programming; Performance evaluation; Power grids; Power system security; Power transmission lines; Sufficient conditions; Testing; Inactive constraints; linear programming; 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.2010.2045161
  • Filename
    5438854