• DocumentCode
    25912
  • Title

    A Flexible Dispatch Margin for Wind Integration

  • Author

    Cardell, Judith B. ; Anderson, C. Lindsay

  • Author_Institution
    Dept. of Comput. Sci., Picker Eng. Program, Smith Coll., Northampton, MA, USA
  • Volume
    30
  • Issue
    3
  • fYear
    2015
  • fDate
    May-15
  • Firstpage
    1501
  • Lastpage
    1510
  • Abstract
    Integrating wind power into power systems contributes to existing variability in system operations. Current methods to mitigate this variability and uncertainty focus on using conventional generator ramping capability. There is also the option of using wind power itself to mitigate the variability and uncertainty that it introduces into the system. This paper introduces the concept of a flexible dispatch margin as a means for wind to participate in mitigating net variability and net uncertainty. In providing a flexible dispatch margin, wind generators under-schedule in the hour-ahead energy market in order to have additional expected flexibility available for the real-time market. The implementation of the flexible dispatch margin is analyzed in a two-stage optimization model with recourse to the flexible dispatch margin, flexible demand and generator ramping. This modeling framework combines Monte Carlo simulations with AC OPF analysis, using the IEEE 39-bus test system. Results show that use of the flexible dispatch margin decreases the reliance on peaking generators to mitigate net variability and uncertainty, and also decreases the frequency of price spike events, particularly as wind penetration increases from 10% to 30%. The analysis emphasizes the importance of increasing flexible resource capability as power system variability and uncertainty increase.
  • Keywords
    Monte Carlo methods; load flow; optimisation; power generation dispatch; power generation economics; power markets; wind power plants; AC OPF analysis; IEEE 39-bus test system; Monte Carlo simulations; flexible dispatch margin; generator ramping capability; hour-ahead energy market; net uncertainty mitigation; net variability mitigation; power system variability; price spike events; two-stage optimization model; wind generators; wind penetration; wind power integration; Frequency division multiplexing; Generators; Mathematical model; Uncertainty; Wind farms; Wind forecasting; Wind power generation; AC OPF; Monte Carlo simulation; ancillary services; demand response; flexible resources; ramping product; renewables integration; wind power;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2337662
  • Filename
    6877721