• DocumentCode
    599728
  • Title

    A new approach to coherency identification in large multi-machine power system

  • Author

    Rashedur, R.S. ; Yeakub, H.M. ; Sekendar, A.M.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Asia Pacific, Dhaka, Bangladesh
  • fYear
    2012
  • fDate
    20-22 Dec. 2012
  • Firstpage
    587
  • Lastpage
    590
  • Abstract
    This paper based on a new coherency identification method, which is very much simple and reliable. The new coherency identification method has the capacity to identify the coherent groups perfectly, so the nature of the machines in the reduced order system is exactly similar to those of the full system. The technique involves the electrical proximity index, inertia condition index and a power variation index under faulted condition to select the coherent group of generators. Each coherent group is replaced by a single machine using the method of dynamic equivalent construction. The number of machines in the reduced order model depends on the number of coherent groups identified in the full system. So less computer memory and time are required in solving the swing equations. The new coherency identification method was applied into a large multi-machine power system and a satisfactory result was obtained.
  • Keywords
    fault diagnosis; power system identification; power system stability; coherency identification method; coherent group; dynamic equivalent construction; electrical proximity index; faulted condition; inertia condition index; multimachine power system; power system stability analysis; power variation index; reduced order system; swing equations; Equations; Generators; Indexes; Power system dynamics; Power system stability; Power system transients; Stability analysis; Transient stability study; coherent generators; dynamic equivalents; swing curve;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Computer Engineering (ICECE), 2012 7th International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4673-1434-3
  • Type

    conf

  • DOI
    10.1109/ICECE.2012.6471618
  • Filename
    6471618