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 WEDNESDAY, 28 SEPTEMBER 2016
 14:30 - 16:00 ADVANCED CONTROL STRATEGIES FOR WIND PLANTS 
Room: Hall G2 
Turbine technology 

 

Session description

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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Co-chair:
Ervin Bossanyi, DNV GL, United Kingdom

William Leithead, University of Strathclyde, United Kingdom

Bastian Ritter
Industrial Science GmbH, Germany
MAKING NONLINEAR STATE ESTIMATION TECHNIQUES READY FOR USE IN INDUSTRIAL WIND TURBINE CONTROL SYSTEMS
Abstract ID: 57  Download presentation: 92_WindEurope2016presentation.pdf (1.55 MB) Download full paper: PDF (0.68 MB)
Nikolai Hille
DNV GL Energy, Germany
GUIDANCE FOR DESIGN AND CERTIFICATION OF WIND TURBINES WITH LIDAR-ASSISTED CONTROL
Abstract ID: 132  | Download presentation: 96_WindEurope2016presentation.pdf (0.86 MB) Full paper not available
Jonas Kazda
Technical University of Denmark, Denmark
FRAMEWORK OF MULTI-OBJECTIVE WIND FARM CONTROLLER APPLICABLE TO REAL WIND FARMS
Abstract ID: 282  | Download presentation: 95_WindEurope2016presentation.pptx (1.51 MB) Download full paper: PDF (0.31 MB)
Axel Schild
IAV GmbH, Germany
HIGH PERFORMANCE NONLINEAR MODEL PREDICTIVE CONTROL FOR WIND TURBINES
Abstract ID: 317  | Download presentation: 93_WindEurope2016presentation.pdf (1.40 MB) Full paper not available
David Schlipf
Stuttgart Wind Energy (SWE), Germany
FIELD TESTING OF FLATNESS-BASED FEEDFORWARD CONTROL ON THE CART2
Abstract ID: 485  | Download presentation: 94_WindEurope2016presentation.pdf (2.72 MB) Full paper not available

 

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