Publications

dissertation

Data-Driven Wind Plant Control, PhD dissertation. Delft University of Technology, 2014.

journal publications

J.J. Thomas, P.M.O. Gebraad, and A. Ning. Improving the FLORIS wind plant model for compatibility with gradient-based optimization. Wind Engineering, 2017.

P. Gebraad, J.J. Thomas, A. Ning, P. Fleming, and K Dykes. Maximization of the annual energy production of wind power plants by optimization of layout and yaw-based wake control. Wind Energy, 2016.

J. Annoni, P.M.O. Gebraad, A.K. Scholbrock, P.A. Fleming, and J.W. van Wingerden. Analysis of axial-induction-based wind plant control using an engineering and a high-order wind plant model. Wind Energy, 2015.

P.A. Fleming, A. Ning, P.M.O. Gebraad, and K. Dykes. Wind plant system engineering through optimization of layout and yaw control. Wind Energy, 2015.

P.M.O. Gebraad, F.W. Teeuwisse, J.W. van Wingerden, P.A. Fleming, S.D. Ruben, J.R. Marden, and L.Y. Pao. Wind plant power optimization through yaw control using a parametric model for wake effects - a CFD simulation study. Wind Energy, 2014.

P. Fleming, P. Gebraad, S. Lee, J.W. van Wingerden, K. Johnson, M. Churchfield, J. Michalakes, P. Spalart, and P. Moriarty. Simulation comparison of wake mitigation control strategies for a two-turbine case. Wind Energy, 2014.

P. Fleming, P. Gebraad, S. Lee, J.W. van Wingerden, K. Johnson, M. Churchfield, J. Michalakes, P. Spalart, and P. Moriarty. Evaluating techniques for redirecting turbine wake using SOWFA. Renewable Energy, 2014.

P.M.O. Gebraad and J.W. van Wingerden. Maximum power-point tracking control for wind farms. Wind Energy, 2014.

P.M.O. Gebraad, J.W. van Wingerden, P.A. Fleming, and A.D. Wright. LPV Identification of Wind Turbine Rotor Vibrational Dynamics Using Periodic Disturbance Basis Functions. IEEE Transactions on Control Systems Technology, 2013.

in conference proceedings

(abbreviated list, not including journal-published work)

P.M.O. Gebraad, M.J. Churchfield, and P.A. Fleming. Incorporating Atmospheric Stability Effects into the FLORIS Engineering Model of Wakes in Wind Farms. Presented at the 2016 'The Science of Making Torque from Wind' conference in Garching, Germany.

S. Boersma, P.M.O. Gebraad, M. Vali, B.M. Doekemeijer, and J.W. van Wingerden. A control-oriented dynamic wind farm flow model: "WFSim". Presented at the 2016 'The Science of Making Torque from Wind' conference in Garching, Germany.

P. Fleming, M. Churchfield, A. Scholbrock, A. Clifton, S. Schreck, K Johnson, A. Wright, P. Gebraad, J. Annoni, B. Naughton. Detailed field test of yaw-based wake steering. Presented at the 2016 'The Science of Making Torque from Wind' conference in Garching, Germany.

P. Fleming, J. Aho, P. Gebraad, L. Pao, and Y. Zhang. Computational fluid dynamics simulation study of active power control in wind plants. Presented at the 2016 American Control Conference, Boston MA, USA.

J. Annoni, P. Gebraad, and P. Seiler. Wind farm flow modeling using an input-output reduced-order model. Presented at the 2016 American Control Conference, Boston MA, USA.

P.M.O. Gebraad, P.A. Fleming, and J.W. van Wingerden. Comparison of actuation methods for wake control in wind plants. Presented at the 2015 American Control Conference, Chicago IL, USA.

P.M.O. Gebraad, P.A. Fleming, and J.W. van Wingerden. Wind turbine wake estimation and control using FLORIDyn, a control-oriented dynamic wind plant model. Presented at the 2015 American Control Conference, Chicago IL, USA.

P.M.O. Gebraad and J.W. van Wingerden. A control-oriented dynamic model for wakes in wind plants. Presented at the 2014 'The Science of Making Torque from Wind' conference in Lyngby, Denmark.

E. Simley, L. Y. Pao, P. Gebraad, and M. Churchfield. Investigation of the impact of the upstream induction zone on LIDAR measurement accuracy for wind turbine control applications using large-eddy simulation. Presented at the 2014 'The Science of Making Torque from Wind' conference in Lyngby, Denmark.

P.A. Fleming, P.M.O. Gebraad, M.J. Churchfield, J.W. van Wingerden, A.K. Scholbrock and P.J. Moriarty. Using particle filters to track wind turbine wakes for improved wind plant controls. Presented at the 2014 American Control Conference, Portland OR, USA.

J. Annoni, P. Seiler, K. Johnson, P. Fleming and P. Gebraad. Evaluating wake models for wind farm control. Presented at the 2014 American Control Conference, Portland OR, USA.

P. Fleming, P. Gebraad, J.W. van Wingerden, S. Lee, M. Churchfield, A. Scholbrock, J. Michalakes, K. Johnson, and P. Moriarty. The SOWFA Super-Controller: A High-Fidelity Tool for Evaluating Wind Plant Control Approaches. Presented at EWEA 2013 in Vienna, Austria.

P.M.O. Gebraad, J.W. van Wingerden, and M. Verhaegen. Sparse estimation for predictor-based subspace identification of LPV systems. Presented at the 2011 IFAC Symposium on System Identification in Brussels, Belgium.

P.M.O. Gebraad, J.W. van Wingerden, G.J. van der Veen, and M. Verhaegen. LPV subspace identification using a novel nuclear norm regularization method. Presented at the 2011 American Control Conference, San Francisco, CA, USA.

J.W. van Wingerden, P.M.O. Gebraad, and M. Verhaegen. LPV identification of an aeroelastic flutter model. Presented at the 2010 IEEE Conference on Decision and Control in Atlanta, GA, USA.

review articles

S. Boersma et al. A tutorial on control-oriented modeling and control of wind farms. American Control Conference, 2017.

G. A. M. van Kuik et al. Long-term research challenges in wind energy – a research agenda by the European Academy of Wind Energy. Wind Energy Science, 2016.

technical reports

P. Fleming, P. Gebraad, M. Churchfield, S. Lee, K. Johnson, J. Michalakes, J.W. van Wingerden, and P. Moriarty. SOWFA + Super Controller User's Manual. NREL Report NREL/TP-5000-59197.

supervised MSc projects (recent)

S. B. Altun. Modeling the effects of yaw-based wake steering on the downstream and cross-wind neighboring wind turbines. DTU Wind Energy, 2019.