4.7 Article

Is it always windy somewhere? Occurrence of low-wind-power events over large areas

Journal

RENEWABLE ENERGY
Volume 101, Issue -, Pages 1124-1130

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2016.10.004

Keywords

Wind power; Wind variability; Large deviation theory; Effective load carrying capacity (ELCC); Geographic diversity

Funding

  1. National Science Foundation [1332147]
  2. Doris Duke Charitable Foundation
  3. Richard King Mellon Foundation
  4. Electric Power Research Institute
  5. Heinz Endowments through the RenewElec project
  6. Climate and Energy Decision Making (CEDM) center
  7. Directorate For Engineering
  8. Div Of Industrial Innovation & Partnersh [1332147] Funding Source: National Science Foundation
  9. Divn Of Social and Economic Sciences
  10. Direct For Social, Behav & Economic Scie [1463492] Funding Source: National Science Foundation

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The incidence of widespread low-wind conditions is important to the reliability and economics of electric grids with large amounts of wind power. In order to investigate a future in which wind plants are geographically widespread but interconnected, we examine how frequently low generation levels occur for wind power aggregated from distant, weakly-correlated wind generators. We simulate the wind power using anemometer data from nine tall-tower sites spanning the contiguous United States. The number of low-power hours per year declines exponentially with the number of sites being aggregated. Hours with power levels below 5% of total capacity, for example, drop by a factor of about 60, from 2140 h/y for the median single site to 36 h/y for the generation aggregated from all nine sites; the standard deviation drops by a factor of 3. The systematic dependence of generation-level probability distribution tails on both number and power threshold is well described by the theory of Large Deviations. Combining this theory for tail behavior with the normal distribution for behavior near the mean allows us to estimate, Without the use of any adjustable parameters, the entire generation duration curve as a function of the number of essentially independent sites in the array. (C) 2016 Elsevier Ltd. All rights reserved.

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