• DocumentCode
    3665276
  • Title

    Model reduction of power systems with preservation of slow and poorly damped modes

  • Author

    Giordano Scarciotti

  • Author_Institution
    Department of Electrical and Electronic Engineering, Imperial College London, United Kingdom
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper a recently proposed variation of the Krylov subspace method for model reduction is applied to power systems. The technique allows to easily enforce constraints on the reduced order model. Herein this is used to preserve the slow and poorly damped modes of the systems in the reduced order model. We analyze the role that these modes have in obtaining a good approximation and we show that the order of the reduced model can be decreased if the “right” modes are preserved. We validate the theory on the 68-Bus, 16-Machine, 5-Area benchmark system (NETS-NYPS).
  • Keywords
    "Reduced order systems","Eigenvalues and eigenfunctions","Approximation methods","Mathematical model","Power system stability","Power system dynamics"
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2015 IEEE
  • ISSN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PESGM.2015.7285719
  • Filename
    7285719