• DocumentCode
    999381
  • Title

    Estimating the Spinning Reserve Requirements in Systems With Significant Wind Power Generation Penetration

  • Author

    Ortega-Vazquez, Miguel A. ; Kirschen, Daniel S.

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester
  • Volume
    24
  • Issue
    1
  • fYear
    2009
  • Firstpage
    114
  • Lastpage
    124
  • Abstract
    Spinning reserve (SR) allows system operators to compensate for unpredictable imbalances between load and generation caused by sudden outages of generating units, errors in load forecasting or unexpected deviations by generating units from their production schedules. As the proportion of power produced by wind farms increases, it becomes more difficult to predict accurately the total amount of power injected by all generators into the power system. This added uncertainty must be taken into account when setting the requirement for SR. This paper proposes a technique to calculate the optimal amount of SR that the system operator should provide to be able to respond not only to generation outages but also to errors in the forecasts for load and wind power production. Using a Monte Carlo simulation, the proposed technique for setting the SR requirements is then compared with the traditional deterministic criterion (i.e., the capacity of the largest online infeed), an approach to cope with wind imbalances and an approach that combines the traditional criterion with the approach to cope with wind imbalances. The results show that, contrary to what is commonly believed, an increased wind power penetration does not necessarily require larger amounts of SR.
  • Keywords
    Monte Carlo methods; load forecasting; power generation dispatch; power generation scheduling; wind power plants; Monte Carlo simulation; load forecasting; power generation dispatch; power generation outages; power generation scheduling; power systems; spinning reserve requirement estimation; wind farms; wind power generation penetration; Expected energy not served; Monte Carlo methods; mixed integer programming; power generation dispatch; power generation scheduling; spinning reserve; value of lost load; wind power generation;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2008.2004745
  • Filename
    4682642