presentation science and energy control share...jan-willem van wingerden control and system...
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![Page 1: Presentation Science and energy control share...Jan-Willem van Wingerden Control and system identification Wind Energy Control System Research History Baars (PhD) Bosgra (Prof.) Gregor](https://reader031.vdocument.in/reader031/viewer/2022011913/5fab9eff0f701d1fcf4b3271/html5/thumbnails/1.jpg)
Jan-Willem van Wingerden
Control and system identification
Wind Energy Control System Research
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History
Bosgra (Prof.)Baars (PhD)
Gregor Baars
Verhaegen (Prof.)
Wingerden (PhD )
2008
Molenaar (PhD)
2003
Control: Long history in the wind
Steinbuch (PhD)
1989
1994
Bongers (PhD)
Wingerden (associate. Prof.)
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2011
2013
The Wind Control Technology Team
2014 2015 2016 2017
Math
AE
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Relevance of controlVariable speed
turbine
20MW
Required:New control technologies/innovations
For:LoadsEnergy
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The control landscape:
Smart rotor (actuators)
Lidar (sensors)
Wind farms (scale)
Floating (dynamics)Distributed
Feedforward
Nonlinear
System identification /estimation
Big data
Monitoring
Reliability of control technology and algorithms
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TUD ApproachTUD approach: The development of efficient, easy to tune, data-driven algorithms for the synthesis/analysis
of robust controllers for innovative wind energy systems
Implementation
System
Model
Controller
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Closed-loop, low SNR, nonlinear, expensive experiments, RHP zeros, etc
System identification:
Efficient algorithms available No efficient algorithms available
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Mechatronics, Non-linear, strong periodic loads etc.
Smart rotor control:
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Large scale, Navier-Stokes, Non-linear, etc.
Wind farm control
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Wind farm control
Model (observer)Optimizer
PowerLoadFlow…
YawPitchTorqueRepos…
ParkFloris2D CFD3D CFD
GradientGame theoryLearning…
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Wind farm control
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Future: Reconfigurable floating wind farms with 2 bladed smart turbines controlled by data-driven algorithms
Picture taken from:http://www.offshorewind.biz/2013/07/24/dcns-and-nasswind-to-showcase-their-floating-wind-turbinein-tokyo-japan/