TY - JOUR
T1 - Study of wind farm control potential based on SCADA data
AU - Schreiber, J.
AU - Salbert, B.
AU - Bottasso, C. L.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2018/6/19
Y1 - 2018/6/19
N2 - In this work, a control-oriented wind farm model is validated against SCADA data from a typical on-shore wind farm, without additional instrumentation available. The comparison of model-predicted and measured power deficits due to wake impingement shows good agreement. Furthermore, the model is used to compute optimum yaw misalignments for yaw-induced wake steering, leading to an estimated 1.7% increase in annual energy production by mitigation of wake losses. Results show that wake steering based on standard SCADA data, which is usually available in operational wind farms, has promising potential for open-loop model-based wind farm control.
AB - In this work, a control-oriented wind farm model is validated against SCADA data from a typical on-shore wind farm, without additional instrumentation available. The comparison of model-predicted and measured power deficits due to wake impingement shows good agreement. Furthermore, the model is used to compute optimum yaw misalignments for yaw-induced wake steering, leading to an estimated 1.7% increase in annual energy production by mitigation of wake losses. Results show that wake steering based on standard SCADA data, which is usually available in operational wind farms, has promising potential for open-loop model-based wind farm control.
UR - http://www.scopus.com/inward/record.url?scp=85049630224&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1037/3/032012
DO - 10.1088/1742-6596/1037/3/032012
M3 - Conference article
AN - SCOPUS:85049630224
SN - 1742-6588
VL - 1037
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 3
M1 - 032012
T2 - 7th Science of Making Torque from Wind, TORQUE 2018
Y2 - 20 June 2018 through 22 June 2018
ER -