• DocumentCode
    676580
  • Title

    Power system frequency management challenges - a probabilistic approach to assessing wind farm potential for aiding system frequency stability

  • Author

    Lei Wu ; Infield, David

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow, UK
  • fYear
    2013
  • fDate
    9-11 Sept. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    With the increasing wind penetration level in power systems, transmission system operators have become concerned about frequency stability. The inertia of variable speed wind turbines are decoupled by power electronic converters from the power network and therefore do not intrinsically contribute to power system inertia. Besides, as wind plant displace conventional generation and their inertia, substantial reduction in power system inertia may occur. Variable speed wind turbines can be controlled to provide synthetic inertial response but have no direct contributions to power system inertia levels. A probabilistic approach to assessing wind farm potential for aiding frequency stability in power systems is proposed, and the method will be applied to the GB power system. The impact of the aggregate inertial response on arresting frequency fall is examined assuming a sudden generation loss of 1800 MW in the GB power system. The results show that inertial response from wind can reduce the maximum rate of fall of frequency and the minimum system frequency following the event (frequency nadir).
  • Keywords
    probability; wind turbines; power electronic converters; power network; power system frequency management; probabilistic approach; synthetic inertial response; system frequency stability aiding; variable speed wind turbines; wind farm potential assessment; frequency stability; power systems; synthetic inertia; wind farm;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Renewable Power Generation Conference (RPG 2013), 2nd IET
  • Conference_Location
    Beijing
  • Electronic_ISBN
    978-1-84919-758-8
  • Type

    conf

  • DOI
    10.1049/cp.2013.1791
  • Filename
    6718702