• DocumentCode
    1312034
  • Title

    Slow Coherency Based Cutset Determination Algorithm for Large Power Systems

  • Author

    Xu, Guangyue ; Vittal, Vijay

  • Author_Institution
    Arizona State Univ., Tempe, AZ, USA
  • Volume
    25
  • Issue
    2
  • fYear
    2010
  • fDate
    5/1/2010 12:00:00 AM
  • Firstpage
    877
  • Lastpage
    884
  • Abstract
    This paper provides an integrated algorithm to identify a cutset for a large power system for the application of a slow coherency based controlled islanding scheme. Controlled islanding is employed as a corrective measure of last resort to prevent cascading outages caused by large disturbances. The large scale power system is represented as a graph and a simplification algorithm is used to reduce the complexity of the system. Generators belonging to the same slowly coherent group are collapsed into a dummy node, and a graph partition library is used to split the graph into a given number of parts. Some extra islands formed by the partition library are merged into their adjacent large islands and the original cutset of the actual power system is recovered from the highly simplified graph. A software package was developed to test the efficiency of the algorithm, and dynamic simulations were run on the WECC system to verify the effectiveness of the cutset obtained. The WECC system has more than 15 000 buses and 2300 generators. Detailed steps to develop an islanding strategy for a specified contingency for a large system are described in this paper.
  • Keywords
    distributed power generation; graph theory; power system faults; power system stability; WECC system; cascading outages; controlled islanding; corrective measure; cutset determination; dummy node; graph partition library; slow coherency; Controlled islanding; cutset identification; dynamic simulation in the WECC system; slow coherency;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2009.2032421
  • Filename
    5325878