Abstract
Regional wind integration studies in the United States require detailed wind power output data at many locations to perform simulations of how the power system will operate under high-penetration scenarios. The wind data sets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated windplants, as well as be time synchronized with available load profiles. The Wind Integration National Dataset (WIND) Toolkit described in this paper fulfills these requirements. A wind resource dataset, wind power production time series, and simulated forecasts from a numerical weather prediction model run on a nationwide 2-km grid at 5-min resolution will be made publicly available for more than110,000 onshore and offshore wind power production sites.
Original language | American English |
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Number of pages | 6 |
State | Published - 2013 |
Event | 12th International Workshop on the Large-Scale Integration of Wind Power into Power Systems - London, England Duration: 22 Oct 2013 → 24 Oct 2013 |
Conference
Conference | 12th International Workshop on the Large-Scale Integration of Wind Power into Power Systems |
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City | London, England |
Period | 22/10/13 → 24/10/13 |
NREL Publication Number
- NREL/CP-5D00-60269
Keywords
- numerical weather prediction
- wind integration
- wind power
- wind resource assessment