14:30 - 16:00 Advanced control strategies for wind plants
Turbine technology
![Onshore Onshore](onshore-neg.png)
![Offshore Offshore](offshore-neg.png)
Room: Hall G2
Modern control design methods like non-linear model predictive control can take account of complex dynamics and actuator constraints, while making use of richer information input from advanced sensors such as LIDARs. They contribute to the coordinated control of entire wind farms while meeting new operational demands from the electricity system. The session addresses advanced state estimation methods, an important component of such controllers. You will hear about field test results from a controller using wind preview from a LIDAR sensor as well as changes in design and certification guidelines needed to account for the use of LIDARs.
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Learning objectives
- Advanced non-linear state estimation techniques for wind turbines that run in real time;
- Non-linear model predictive control that rung in real time and improve performances;
- A LIDAR-assisted flatness-based controller validated in field tests;
- Requirements for design and certification of wind turbines with LIDAR assisted control;
- A wind farm control framework that can mitigate wake effects and provide grid balancing services.
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Presenter
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Co-authors:
David Schlipf (1) F Paul Fleming (2) Steffen Raach (1) Andrew Scholbrock (2) Florian Haizmann (1) Raghu Krishnamurthy (3) Holger Fuerst (1) Matthieu Boquet (3) Po Wen Cheng (1)
(1) Stuttgart Wind Energy (SWE), Stuttgart, Germany (2) National Renewable Energy Laboratory (NREL), Boulder, United States (3) Avent Lidar Technology, Orsay, France
Presenter's biography
Biographies are supplied directly by presenters at WindEurope Summit 2016 and are published here uneditedDavid Schlipf received his PhD entitled "Lidar-Assisted Control Concepts for Wind Turbines" at SWE, where he is leading the research group "Control, Optimization and Monitoring". He was a research scholar at the University of Colorado Boulder and NREL in 2014/15, carrying out field tests of lidar-assisted controllers and performing research in the floating wind turbine control area.
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