• DocumentCode
    1282294
  • Title

    Coherency-based low order models for shaft systems of turbine-generator sets

  • Author

    Grande-Moran, C. ; Brown, M.D.

  • Author_Institution
    Power Syst. Eng. Dept., GE Electr. Distribution & Control, Schenectady, NY, USA
  • Volume
    12
  • Issue
    3
  • fYear
    1997
  • fDate
    9/1/1997 12:00:00 AM
  • Firstpage
    217
  • Lastpage
    224
  • Abstract
    Accurate low order lumped models that represent the low frequency torsional motion of turbine-generator sets are needed for determining shaft torsional responses resulting from subsynchronous resonance conditions, electric power system faults and planned/unplanned switching actions in the electric network. This paper presents a coherency-based method that resolves a high order inertia-spring lumped model into a low order inertia-spring lumped model, while preserving the selected group of natural torsional frequencies and their associated mode shapes. Forced eigen-frequency matching and conservation of angular momentum form the basis of the iterative procedure developed in the paper. Numerical examples are included to illustrate the capabilities of the proposed method in determining accurate low order dynamic equivalents
  • Keywords
    eigenvalues and eigenfunctions; iterative methods; lumped parameter networks; machine theory; subsynchronous resonance; torsion; turbogenerators; angular momentum conservation; coherency-based low order models; forced eigen-frequency matching; iterative procedure; low frequency torsional motion; low order dynamic equivalents; low order inertia-spring lumped model; low order lumped models; natural torsional frequencies; power network switching actions; power system faults; shaft torsional responses; subsynchronous resonance; turbine-generator set shaft systems; Fatigue; Frequency; Power engineering and energy; Power generation; Power system dynamics; Power system modeling; Power system transients; Resonance; Shafts; Shape;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/60.629706
  • Filename
    629706