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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. You attended this session?
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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: ![]() ![]() |
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Nikolai Hille DNV GL Energy, Germany GUIDANCE FOR DESIGN AND CERTIFICATION OF WIND TURBINES WITH LIDAR-ASSISTED CONTROL Abstract ID: 132 ![]() ![]() |
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Jonas Kazda Technical University of Denmark, Denmark FRAMEWORK OF MULTI-OBJECTIVE WIND FARM CONTROLLER APPLICABLE TO REAL WIND FARMS Abstract ID: 282 ![]() ![]() ![]() |
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Axel Schild IAV GmbH, Germany HIGH PERFORMANCE NONLINEAR MODEL PREDICTIVE CONTROL FOR WIND TURBINES Abstract ID: 317 ![]() ![]() |
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David Schlipf Stuttgart Wind Energy (SWE), Germany FIELD TESTING OF FLATNESS-BASED FEEDFORWARD CONTROL ON THE CART2 Abstract ID: 485 ![]() ![]() |
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