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Enhancing Wind Power Forecasting for Offshore Turbines

Explore how to improve the prediction accuracy of wind power output for offshore turbines to minimize power fluctuations and financial penalties, using an innovative weather modeling approach from 1990-2009 data.

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Enhancing Wind Power Forecasting for Offshore Turbines

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  1. Increaseddemand for spinning reserve Decreasedpredictability Large power fluctuations Large windfluctuations Predictionerrorsin day-ahead spot marketforecasts Large concentration of turbines offshore Financial penalties

  2. 6X6 SOMs array of weathercategories Daily MSLP patterns 1990-2009 ERA-Interimreanalysis (ECMWF) Highriskweatherpatterns for severewindvariability Localwind speed 2000-2003 Horns Rev M2 Severevariabilitydays at Horns Rev

  3. Horizontalgridspacing: 54 km, 18 km, 6 km, 2 km Domains 1-3: Kain-Fritschcumulusparametrisation Domain 4: Nocumulusparametrisation

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