• DocumentCode
    1961604
  • Title

    The impacts of intermittent wind generation on network small signal stability considering load variation

  • Author

    Ayodele, T.R. ; Jimoh, A.A. ; Munda, J.L. ; Agee, J.T.

  • Author_Institution
    Dept. of Electr. Eng., Tshwane Univ. of Technol., Pretoria, South Africa
  • fYear
    2012
  • fDate
    9-13 July 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper analyses the influence of intermittent wind power generation on the oscillation of a power system considering different load levels. The fluctuation in the eigenvalues and the eigenvectors resulting from intermittent wind power generation are calculated using Monte Carlo simulation with Latin hypercube sampling via modal analysis. An index known as “probability of stability” is used to determine the level of stability of the power system at different load levels due to variation in electromechanical modes resulting from changes in wind speeds. One of the key results shows that the load level of a power system has significant effects on the small signal stability of a power system consisting of wind generators. The result is validated using time domain simulation.
  • Keywords
    Monte Carlo methods; eigenvalues and eigenfunctions; power system stability; time-domain analysis; wind power; Latin hypercube sampling; Monte Carlo simulation; eigenvalues; eigenvectors; electromechanical modes; intermittent wind power generation; load levels; load variation; modal analysis; network small signal stability; power system oscillation; power system stability; stability probability; time domain simulation; wind generators; wind speeds; Intermittent wind generation; Latin hypercube sampling; Monte Carlo simulation; small signal stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Conference and Exposition in Africa (PowerAfrica), 2012 IEEE
  • Conference_Location
    Johannesburg
  • Print_ISBN
    978-1-4673-2548-6
  • Type

    conf

  • DOI
    10.1109/PowerAfrica.2012.6498607
  • Filename
    6498607