A Wind Energy Ramp Tool and Metric for Measuring the Skill of Numerical Weather Prediction Models

Author:

Bianco Laura1,Djalalova Irina V.1,Wilczak James M.2,Cline Joel3,Calvert Stan4,Konopleva-Akish Elena5,Finley Cathy6,Freedman Jeffrey7

Affiliation:

1. University of Colorado/Cooperative Institute for Research in Environmental Sciences, Boulder, Colorado

2. NOAA/Earth Systems Research Laboratory, Boulder, Colorado

3. Office of Energy Efficiency and Renewable Energy, Department of Energy, Washington, D.C.

4. SC Energy Consulting, Washington, D.C.

5. Science and Technology Corporation, Boulder, Colorado

6. WindLogics Inc., St. Paul, Minnesota

7. AWS Truepower, Albany, New York

Abstract

Abstract A wind energy Ramp Tool and Metric (RT&M) has been developed out of recognition that during significant ramp events (large changes in wind power over short periods of time ) it is more difficult to balance the electric load with power production than during quiescent periods between ramp events. A ramp-specific metric is needed because standard metrics do not give special consideration to ramp events and hence may not provide an appropriate measure of model skill or skill improvement. This RT&M has three components. The first identifies ramp events in the power time series. The second matches in time forecast and observed ramps. The third determines a skill score of the forecast model. This is calculated from a utility operator’s perspective, incorporates phase and duration errors in time as well as power amplitude errors, and recognizes that up and down ramps have different impacts on grid operation. The RT&M integrates skill over a matrix of ramp events of varying amplitudes and durations.

Publisher

American Meteorological Society

Subject

Atmospheric Science

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