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Behavior of the aggregate wind resource in the ISO regions in the United States

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  • Gunturu, Udaya Bhaskar
  • Schlosser, C. Adam

Abstract

The collective behavior of wind farms in seven Independent System Operator (ISO) areas has been studied. The generation duration curves for each ISO show that there is no aggregated power for some fraction of time. Aggregation of wind turbines mitigates intermittency to some extent, but in each ISO there is considerable fraction of time when there is less than 5% capacity. The hourly wind power time series show benefit of aggregation but the high and low wind events are lumped in time, thus indicating that intermittency is synchronized in each region. The timeseries show that there are instances when there is no wind power in most ISOs because of large-scale high pressure systems. An analytical consideration of the collective behavior of aggregated wind turbines shows that the benefit of aggregation saturates beyond a certain number of generating units asymptotically. Also, the benefit of aggregation falls rapidly with temporal correlation between the generating units.

Suggested Citation

  • Gunturu, Udaya Bhaskar & Schlosser, C. Adam, 2015. "Behavior of the aggregate wind resource in the ISO regions in the United States," Applied Energy, Elsevier, vol. 144(C), pages 175-181.
    • Handle: RePEc:eee:appene:v:144:y:2015:i:c:p:175-181
    DOI: 10.1016/j.apenergy.2015.02.013
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    References listed on IDEAS

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    1. Kirby, Brendan & Milligan, Michael, 2008. "Facilitating Wind Development: The Importance of Electric Industry Structure," The Electricity Journal, Elsevier, vol. 21(3), pages 40-54, April.
    2. Fant, Charles & Gunturu, Udaya Bhaskar, 2013. "Characterizing Wind Power Resource Reliability in Southern Africa," WIDER Working Paper Series 067, World Institute for Development Economic Research (UNU-WIDER).
    3. Charles Fant & Udaya Bhaskar Gunturu, 2013. "Characterizing Wind Power Resource Reliability in Southern Africa," WIDER Working Paper Series wp-2013-067, World Institute for Development Economic Research (UNU-WIDER).
    4. Katzenstein, Warren & Fertig, Emily & Apt, Jay, 2010. "The variability of interconnected wind plants," Energy Policy, Elsevier, vol. 38(8), pages 4400-4410, August.
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    Cited by:

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    2. Fairley, I. & Smith, H.C.M. & Robertson, B. & Abusara, M. & Masters, I., 2017. "Spatio-temporal variation in wave power and implications for electricity supply," Renewable Energy, Elsevier, vol. 114(PA), pages 154-165.
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    6. Shahriari, Mehdi & Blumsack, Seth, 2018. "The capacity value of optimal wind and solar portfolios," Energy, Elsevier, vol. 148(C), pages 992-1005.
    7. Yip, Chak Man Andrew & Gunturu, Udaya Bhaskar & Stenchikov, Georgiy L., 2016. "Wind resource characterization in the Arabian Peninsula," Applied Energy, Elsevier, vol. 164(C), pages 826-836.
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    10. Lobato, E. & Doenges, K. & Egido, I. & Sigrist, L., 2020. "Limits to wind aggregation: Empirical assessment in the Spanish electricity system," Renewable Energy, Elsevier, vol. 147(P1), pages 1321-1330.

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