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The Hidden System Costs of Wind Generation in a Deregulated Electricity Market

Author

Listed:
  • Timothy D. Mount
  • Surin Maneevitjit
  • Alberto J. Lamadrid
  • Ray D. Zimmerman
  • Robert J. Thomas

Abstract

Earlier research has shown that adding wind generation to a network can lower the total annual operating cost by displacing conventional generation. At the same time, the variability of wind generation and the need for higher levels of reserve generating capacity to maintain reliability standards impose additional costs on the system that should not be ignored. The important implication for regulators is that the capacity payments [“missing money†] for each MW of peak system load are now much higher. Hence, the economic benefits of reducing the peak system load using storage or controllable demand will be higher with high penetrations of wind generation. These potential benefits are illustrated in a case study using a test network and a security constrained Optimal Power Flow (OPF) with endogenous reserves (SuperOPF). The results show that the benefits are very sensitive to 1) how much of the inherent variability of wind generation is mitigated, and 2) how the missing money is determined (e.g. comparing regulation with deregulation). doi: 10.5547/ISSN0195-6574-EJ-Vol33-No1-7

Suggested Citation

  • Timothy D. Mount & Surin Maneevitjit & Alberto J. Lamadrid & Ray D. Zimmerman & Robert J. Thomas, 2011. "The Hidden System Costs of Wind Generation in a Deregulated Electricity Market," The Energy Journal, , vol. 33(1), pages 161-186, January.
    • Handle: RePEc:sae:enejou:v:33:y:2011:i:1:p:161-186
    DOI: 10.5547/ISSN0195-6574-EJ-Vol33-No1-6
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    References listed on IDEAS

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    1. Rothkopf, Michael H., 2007. "Dealing with Failed Deregulation: What Would Price C. Watts Do?," The Electricity Journal, Elsevier, vol. 20(7), pages 10-16.
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    1. is not listed on IDEAS
    2. Okazaki, Toru & Shirai, Yasuyuki & Nakamura, Taketsune, 2015. "Concept study of wind power utilizing direct thermal energy conversion and thermal energy storage," Renewable Energy, Elsevier, vol. 83(C), pages 332-338.
    3. Paul L. Joskow, 2011. "Comparing the Costs of Intermittent and Dispatchable Electricity Generating Technologies," American Economic Review, American Economic Association, vol. 101(3), pages 238-241, May.
    4. repec:aen:journl:ej34-4-08 is not listed on IDEAS
    5. Stephan Nagl & Michaela Fürsch & Dietmar Lindenberger, 2013. "The Costs of Electricity Systems with a High Share of Fluctuating Renewables: A Stochastic Investment and Dispatch Optimization Model for Europe," The Energy Journal, , vol. 34(4), pages 151-180, October.
    6. Haroon Bhorat & Ravi Kanbur & Natasha Mayet, 2013. "A Note on Measuring the Depth of Minimum Wage Violation," LABOUR, CEIS, vol. 27(2), pages 192-197, June.
    7. Aasim, & Singh, S.N. & Mohapatra, Abheejeet, 2019. "Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting," Renewable Energy, Elsevier, vol. 136(C), pages 758-768.
    8. Dowds, Jonathan & Hines, Paul & Ryan, Todd & Buchanan, William & Kirby, Elizabeth & Apt, Jay & Jaramillo, Paulina, 2015. "A review of large-scale wind integration studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 768-794.

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    • F0 - International Economics - - General

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