• DocumentCode
    2023549
  • Title

    Early prevention of instability-use of self propagating graph for the fast search for optimal grid nodes to apply countermeasures

  • Author

    Dmitrova, Evgenia ; Johannsson, H. ; Nielsen, Arne Hejde

  • Author_Institution
    Center for Electr. Power & Energy, Tech. Univ. of Denmark, Lyngby, Denmark
  • fYear
    2013
  • fDate
    16-20 June 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a method for a fast determination of the grid nodes where countermeasures, in the form of changes in nodal admittance, would provide greatest impact on the stability margin for a specific generator that is facing the risk of instability. The sensitivity of the stability criteria for aperiodic small signal angular stability to the change in nodal admittance is used as a factor quantifying impact that the node has on the stability of a critical generator. In order to lower the number of nodes which are processed through sensitivity analysis, a self-propagating graph with discrete steps is applied. The suggested method is tested on the IEEE 30 bus test system and on the 1648 bus US west coast test system where the results show that the number of nodes processed through sensitivity analysis are well reduced compared to the full sensitivity analysis, illustrating the potential of the developed approach for the fast identification of the optimal nodes for countermeasure application.
  • Keywords
    graph theory; power grids; power system stability; search problems; sensitivity analysis; 1648 bus US west coast test system; IEEE 30 bus test system; aperiodic small signal angular stability; fast search; instability-use; nodal admittance; optimal grid nodes; self propagating graph; sensitivity analysis; stability criteria; stability margin; Admittance; Generators; Power system stability; Sensitivity analysis; Stability criteria; graph theory; power systems; sensitivity analysis; stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech (POWERTECH), 2013 IEEE Grenoble
  • Conference_Location
    Grenoble
  • Type

    conf

  • DOI
    10.1109/PTC.2013.6652379
  • Filename
    6652379