Deliverable D1.4: Classification of control-oriented models for wind farm control applications
The design and operation of a wind farm must account for physical phenomena that can be typically neglected when it comes to stand-alone machines. Indeed, complex interactions take place between the atmospheric flow and the wind farm, as well as within the wind power plant itself.
In this deliverable the classification and the analysis of the wake models developed during the CL-Windcon project are exposed. The models are classified with respect to their capabilities with various aspects. In the first part, D1.4 gives a general overview on each model as well as a written classification description. Then a spreadsheet is presented which analyzes and compares the models with their dedicated validity. In the following chapters different aspects of validation and tuning are studied. Calibration and parameter tuning are described in detail with the FLORIS and the WFSim model. A sensitivity study is performed using the FAST.Farm model analyzing the impact and uncertainty of different parameters.
One important point of the deliverable is the presentation of a technique for the management of sensor failure, which may have applications in wind farm control, where sensor redundancy may not only happen by design, but also by collaboration between turbines.
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