• DocumentCode
    787815
  • Title

    Inertial and slow coherency aggregation algorithms for power system dynamic model reduction

  • Author

    Chow, Joe H. ; Galarza, Ricardo ; Accari, Pierre ; Price, William W.

  • Author_Institution
    Dept. of Electr. Power Eng., Rensselaer Polytech. Inst., Troy, NY, USA
  • Volume
    10
  • Issue
    2
  • fYear
    1995
  • fDate
    5/1/1995 12:00:00 AM
  • Firstpage
    680
  • Lastpage
    685
  • Abstract
    This paper presents new aggregation algorithms for obtaining reduced order power networks when coherent generators are aggregated. The generation terminal bus aggregation algorithm in the EPRI DYNRED software tends to stiffen the reduced order network during the aggregation process, thus increasing the frequencies of inter-area modes. The inertial and slow coherency aggregations will decrease the stiffening effect and produce, for the same coherent machine groups, aggregate networks with improved inter-area mode approximations. This paper contains new procedures to construct these aggregate networks and demonstrates the benefits of these new aggregate networks on a 48-machine power system using eigenvalues and nonlinear simulations
  • Keywords
    aggregation; approximation theory; digital simulation; eigenvalues and eigenfunctions; equivalent circuits; power system analysis computing; power system interconnection; software packages; DYNRED software; aggregation algorithms; approximations; coherent generators; computer simulation; eigenvalues; generation terminal bus; inertial coherency aggregations; inter-area modes; nonlinear simulations; power system dynamic model reduction; slow coherency aggregation; Aggregates; Frequency; Power engineering and energy; Power system dynamics; Power system modeling; Power system simulation; Reduced order systems; Software algorithms; Springs; Systems engineering and theory;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.387903
  • Filename
    387903