• DocumentCode
    724413
  • Title

    Improved method of quantitative steady-state security assessment based on fast elimination of redundant transmission capacity constraints

  • Author

    Xuan Li ; Qiaozhu Zhai ; Wei Yuan ; Jiebing Liu

  • Author_Institution
    MOE KLINNS Lab., Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    4242
  • Lastpage
    4246
  • Abstract
    Steady-state security analysis is of great importance to power systems. Steady-state security region (SSR) is a region-wise method that could improve the efficiency of steady-state security analysis. Based on SSR, steady-state security distance (SSD) was proposed in literature and SSD provides a quantitative tool for security assessment on a current operation point (OP) or operational state. However, a large scale optimization problem with many constraints must be solved when calculating SSD. In this paper, an improved method for calculating SSD is presented based on fast elimination of redundant transmission capacity constraints. The main idea is to use an analytic method instead of solving an optimization problem to get an over estimation on the maximal power flow on each transmission line, and then compare the result with the line capacity to identify whether the constraint is redundant. By using this method, the problem for calculating SSD is greatly simplified. Numerical tests are performed and the results are satisfactory.
  • Keywords
    linear programming; power system security; fast elimination; maximal power flow; quantitative steady-state security assessment; redundant transmission capacity constraints; steady-state security distance; Generators; Load flow; Optimization; Power transmission lines; Security; Steady-state; Linear Programming; Redundant Constraints; Steady-State Security Distance; Steady-State Security Region;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162675
  • Filename
    7162675