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Network Constrained Wind Integration: An Optimal Cost Approach

Author

Listed:
  • Jesse Maddaloni
  • Andrew Rowe
  • G. Cornelis van Kooten

Abstract

Planning electricity supply is important because power demand continues to increase while there is a concomitant desire to increase reliance on renewable sources. Extant research pays particular attention to highly variable, low-carbon energy sources such as wind and small-scale hydroelectric power. Models generally employ only a simple load levelling technique, ensuring that generation meets demand in every period. The current research considers the power transmission system as well as load levelling. A network model is developed to simulate the integration of highly variable non-dispatchable power into an electrical grid that relies on traditional generation sources, while remaining within the network’s operating constraints. The model minimizes a quadratic cost function over two periods of 336 hours, with periods representing low (summer) and high (winter) demand, subject to various linear constraints. The model is numerically solved using Matlab and GAMS software environments. Results indicate that, even for a grid heavily dependent on hydroelectricity, the addition of wind power can create difficulties, with system costs increasing with wind penetration, sometimes significantly.

Suggested Citation

  • Jesse Maddaloni & Andrew Rowe & G. Cornelis van Kooten, 2006. "Network Constrained Wind Integration: An Optimal Cost Approach," Working Papers 2006-05, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
  • Handle: RePEc:rep:wpaper:2006-05
    as

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    File URL: https://web.uvic.ca/~repa/publications/REPA%20working%20papers/WorkingPaper2006-05.pdf
    File Function: Final version, 2006
    Download Restriction: no

    References listed on IDEAS

    as
    1. Benitez, Liliana E. & Benitez, Pablo C. & van Kooten, G. Cornelis, 2008. "The economics of wind power with energy storage," Energy Economics, Elsevier, vol. 30(4), pages 1973-1989, July.
    2. Voorspools, Kris R. & D'haeseleer, William D., 2006. "An analytical formula for the capacity credit of wind power," Renewable Energy, Elsevier, vol. 31(1), pages 45-54.
    3. Scorah, Hugh & Sopinka, Amy & van Kooten, G. Cornelis, 2012. "The economics of storage, transmission and drought: integrating variable wind power into spatially separated electricity grids," Energy Economics, Elsevier, vol. 34(2), pages 536-541.
    4. G. Cornelis van Kooten & Craig Johnston & Linda Wong, 2013. "Wind versus Nuclear Options for Generating Electricity in a Carbon-Constrained World: Strategizing in an Energy-Rich Economy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 505-511.
    5. Maddaloni, Jesse D. & Rowe, Andrew M. & van Kooten, G. Cornelis, 2008. "Network constrained wind integration on Vancouver Island," Energy Policy, Elsevier, vol. 36(2), pages 591-602, February.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Electric networks; optimal power flow; wind power; intermittent sources;

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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