Sjoerd Boersma
Sjoerd Boersma
Post doctoral researcher
Verified email at wur.nl
Title
Cited by
Cited by
Year
A tutorial on control-oriented modeling and control of wind farms
S Boersma, BM Doekemeijer, PMO Gebraad, PA Fleming, J Annoni, ...
2017 American control conference (ACC), 1-18, 2017
1322017
A control-oriented dynamic wind farm model: WFSim
S Boersma, B Doekemeijer, M Vali, J Meyers, JW van Wingerden
Wind Energy Science 3 (1), 75-95, 2018
582018
Adjoint-based model predictive control for optimal energy extraction in waked wind farms
M Vali, V Petrović, S Boersma, JW van Wingerden, LY Pao, M Kühn
Control Engineering Practice 84, 48-62, 2019
322019
Ensemble Kalman filtering for wind field estimation in wind farms
BM Doekemeijer, S Boersma, LY Pao, JW van Wingerden
2017 American Control Conference (ACC), 19-24, 2017
302017
A constrained wind farm controller providing secondary frequency regulation: An LES study
S Boersma, BM Doekemeijer, S Siniscalchi-Minna, JW van Wingerden
Renewable energy 134, 639-652, 2019
282019
A control-oriented dynamic wind farm flow model:“WFSim”
S Boersma, PMO Gebraad, M Vali, BM Doekemeijer, JW Van Wingerden
Journal of Physics: Conference Series 753 (3), 032005, 2016
272016
Online model calibration for a simplified LES model in pursuit of real-time closed-loop wind farm control
BM Doekemeijer, S Boersma, LY Pao, T Knudsen, JW van Wingerden
Wind Energy Science 3 (2), 749-765, 2018
222018
A predictive control framework for optimal energy extraction of wind farms
M Vali, JW van Wingerden, S Boersma, V Petrović, M Kühn
Journal of Physics: Conference Series 753 (5), 052013, 2016
222016
Enhanced Kalman filtering for a 2D CFD NS wind farm flow model
BM Doekemeijer, JW Van Wingerden, S Boersma, LY Pao
Journal of Physics: Conference Series 753 (5), 052015, 2016
222016
Quasi Linear Parameter Varying modeling for wind farm control using the 2D Navier-Stokes equations
S Boersma, M Vali, M Kühn, JW van Wingerden
2016 American Control Conference (ACC), 4409-4414, 2016
192016
Adjoint-based model predictive control of wind farms: Beyond the quasi steady-state power maximization
M Vali, V Petrović, S Boersma, JW van Wingerden, M Kühn
IFAC-PapersOnLine 50 (1), 4510-4515, 2017
182017
Model predictive active power control of waked wind farms
M Vali, V Petrović, S Boersma, JW van Wingerden, LY Pao, M Kühn
2018 Annual American Control Conference (ACC), 707-714, 2018
142018
Robust lidar-based closed-loop wake redirection for wind farm control
S Raach, S Boersma, JW van Wingerden, D Schlipf, PW Cheng
IFAC-PapersOnLine 50 (1), 4498-4503, 2017
142017
controller design for closed-loop wake redirection
S Raach, JW van Wingerden, S Boersma, D Schlipf, PW Cheng
2017 American Control Conference (ACC), 703-708, 2017
142017
Dynamic flow model for real-time application in wind farm control
A Rott, S Boersma, JW van Wingerden, M Kühn
Journal of Physics: Conference Series 854 (1), 012039, 2017
132017
Lidar-based closed-loop wake redirection in high-fidelity simulation
S Raach, S Boersma, B Doekemeijer, JW van Wingerden, PW Cheng
Journal of Physics: Conference Series 1037 (3), 032016, 2018
102018
2017 American Control Conference (ACC)
S Boersma, BM Doekemeijer, PMO Gebraad, PA Fleming, J Annoni, ...
IEEE, 2017
62017
Feedback-feedforward individual pitch control design for wind turbines with uncertain measurements
R Ungurán, V Petrović, S Boersma, JW van Wingerden, LY Pao, M Kühn
2019 American Control Conference (ACC), 4151-4158, 2019
52019
Feedforward-Feedback wake redirection for wind farm control
S Raach, B Doekemeijer, S Boersma, JW van Wingerden, PW Cheng
Wind Energy Science Discussions, 1-18, 2019
32019
Stochastic model predictive control: uncertainty impact on wind farm power tracking
S Boersma, BM Doekemeijer, T Keviczky, JW van Wingerdenl
2019 American Control Conference (ACC), 4167-4172, 2019
32019
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Articles 1–20