• DocumentCode
    647821
  • Title

    Active boundary identifying technique for steady-state security distance assessment

  • Author

    Sijie Chen ; Qixin Chen ; Qing Xia ; Chongqing Kang ; Ming Jing ; Qiang Ma

  • Author_Institution
    Dept. Electr. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Steady-state security operation is of particular concern to power systems. In order to ensure operation security, system operators have to operate the system with moderate security margins to accommodate various unpredicted uncertainties. In this paper, we apply “steady-state security distance” (SSD) to quantitatively assess the scale of system security margins. SSD is defined in steady-state security region (SSR) based on AC power flow model. Solution of SSD could be formulated as a time-consuming nonlinear optimization problem. A novel algorithm based on active boundary identifying technique is proposed to improve computation efficiency. The algorithm firstly solves SSD based on simplified DC power flow model and identifies active SSR boundaries. Secondly, complete SSD calculation based on AC power flow model is carried out towards only the active boundaries, with DC SSD information as initial estimations. An IEEE-30 bus case is employed to testify the efficiency and effectiveness of the algorithm.
  • Keywords
    load flow; optimisation; power system security; AC power flow model; IEEE-30 bus case; SSD; SSR; active boundary identifying technique; power systems; steady-state security distance assessment; steady-state security region; time-consuming nonlinear optimization problem; unpredicted uncertainties; Computational modeling; Power systems; Security; active boundary identifying; security margin; steady-state security distance; steady-state security region;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672365
  • Filename
    6672365