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

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  • Timothy D. Mount, Surin Maneevitjit, Alberto J. Lamadrid, Ray D. Zimmerman, and 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).

Suggested Citation

  • Timothy D. Mount, Surin Maneevitjit, Alberto J. Lamadrid, Ray D. Zimmerman, and Robert J. Thomas, 2012. "The Hidden System Costs of Wind Generation in a Deregulated Electricity Market," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
  • Handle: RePEc:aen:journl:33-1-a06
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    References listed on IDEAS

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    1. Bird, Lori & Chapman, Caroline & Logan, Jeff & Sumner, Jenny & Short, Walter, 2011. "Evaluating renewable portfolio standards and carbon cap scenarios in the U.S. electric sector," Energy Policy, Elsevier, vol. 39(5), pages 2573-2585, May.
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    Cited by:

    1. Lion Hirth, 2013. "The Market Value of Variable Renewables. The Effect of Solar and Wind Power Variability on their Relative Price," RSCAS Working Papers 2013/36, European University Institute.
    2. Andreas Gerster, 2016. "Negative price spikes at power markets: the role of energy policy," Journal of Regulatory Economics, Springer, vol. 50(3), pages 271-289, December.
    3. Hanson, Donald & Schmalzer, David & Nichols, Christopher & Balash, Peter, 2016. "The impacts of meeting a tight CO2 performance standard on the electric power sector," Energy Economics, Elsevier, vol. 60(C), pages 476-485.
    4. Hirth, Lion & Ueckerdt, Falko, 2013. "Redistribution effects of energy and climate policy: The electricity market," Energy Policy, Elsevier, vol. 62(C), pages 934-947.
    5. Narbel, Patrick A., 2014. "Rethinking how to support intermittent renewables," Discussion Papers 2014/17, Norwegian School of Economics, Department of Business and Management Science.
    6. 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.
    7. Joan Batalla-Bejerano & Elisa Trujillo-Baute, 2015. "Analysing the sensitivity of electricity system operational costs to deviations in supply and demand," Working Papers 2015/8, Institut d'Economia de Barcelona (IEB).
    8. Stephan Nagl, Michaela Fursch, and 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, International Association for Energy Economics, vol. 0(Number 4).
    9. 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.
    10. Lauren Knapp & Jacob Ladenburg, 2015. "How Spatial Relationships Influence Economic Preferences for Wind Power—A Review," Energies, MDPI, Open Access Journal, vol. 8(6), pages 1-25, June.
    11. Hirth, Lion, 2013. "The market value of variable renewables," Energy Economics, Elsevier, vol. 38(C), pages 218-236.
    12. Lamadrid, Alberto J. & Mount, Tim, 2012. "Ancillary services in systems with high penetrations of renewable energy sources, the case of ramping," Energy Economics, Elsevier, vol. 34(6), pages 1959-1971.
    13. Lamadrid, Alberto J. & Maneevitjit, Surin & Mount, Timothy D., 2016. "The economic value of transmission lines and the implications for planning models," Energy Economics, Elsevier, vol. 57(C), pages 1-15.
    14. Zafirakis, Dimitrios & Chalvatzis, Konstantinos J. & Baiocchi, Giovanni & Daskalakis, George, 2013. "Modeling of financial incentives for investments in energy storage systems that promote the large-scale integration of wind energy," Applied Energy, Elsevier, vol. 105(C), pages 138-154.
    15. Wooyoung Jeon & Alberto Lamadrid & Jung Mo & Timothy Mount, 2015. "Using deferrable demand in a smart grid to reduce the cost of electricity for customers," Journal of Regulatory Economics, Springer, vol. 47(3), pages 239-272, June.
    16. Gerster, Andreas, 2016. "Negative price spikes at power markets: The role of energy policy," Ruhr Economic Papers 636, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    17. 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.
    18. Peeter Pikk & Marko Viiding, 2013. "The dangers of marginal cost based electricity pricing," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 13(1), pages 49-62, July.

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    JEL classification:

    • F0 - International Economics - - General

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