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Unit commitment for systems with significant wind penetration

Author

Listed:
  • Tuohy, Aidan
  • Meibom, Peter
  • Denny, Eleanor
  • O'Malley, Mark

Abstract

The stochastic nature of wind alters the unit commitment and dispatch problem. By accounting for this uncertainty when scheduling the system, more robust schedules are produced, which should, on average, reduce expected costs. In this paper, the effects of stochastic wind and load on the unit commitment and dispatch of power systems with high levels of wind power are examined. By comparing the costs, planned operation and performance of the schedules produced, it is shown that stochastic optimization results in less costly, of the order of 0.25%, and better performing schedules than deterministic optimization. The impact of planning the system more frequently to account for updated wind and load forecasts is then examined. More frequent planning means more up to date forecasts are used, which reduces the need for reserve and increases performance of the schedules. It is shown that mid merit and peaking units and the interconnection are the most affected parts of the system where uncertainty of wind is concerned

Suggested Citation

  • Tuohy, Aidan & Meibom, Peter & Denny, Eleanor & O'Malley, Mark, 2009. "Unit commitment for systems with significant wind penetration," MPRA Paper 34849, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:34849
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    File URL: https://mpra.ub.uni-muenchen.de/34849/1/MPRA_paper_34849.pdf
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    More about this item

    Keywords

    power generation dispatch; power system economics; stochastic systems; wind power generation;
    All these keywords.

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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