Quantifying the uncertainty is key for assessing the benefit of wind farm control and mitigating the
barrier to implement concepts in industrial practice. This work package is approaching the uncertainty
assessment of wind farm control in a structured approach. The work package will be organized by
characterizing the different sources of uncertainties in wind farm flow control which contribute most
to quantify AEP calculation and structural load reduction potential. For each of the sources the aim
is to quantify the uncertainty range and provide realistic assumptions and methods of implementation
for an overall uncertainty assessment. The goal of WP2 is to provide the foundation and best practice
for realistic evaluation of wind farm control and an uncertainty set to be used when developing and
benchmarking WFC algorithms.
Uncertainties of the following sources will be considered:
- Uncertain inflow conditions: The variability of the wind is one of the main sources of uncertainty. The
continuously changing inflow conditions are considered as well as day-night changes in atmospheric
- Model mismatch: Flow models Flow dynamics are described by the Navier-Stokes equations. However,
for wind farm control often reduced-order or control-oriented models are used. This potential
model inadequacy introduces a second important source of uncertainty.
Model mismatch: Turbine models Extracting the wind power from the wind is a complex task and
assumptions and simplifications are made which introduce uncertainty.
- Actuators: The transducers that are used to influence the flow within a wind farm (e.g. yaw position,
pitch position) also bound the implementation by their physical constraints. Important aspects
are: bandwidth, accuracy, energy consumption, robustness and resolution.
- Sensors: The transducer that is used to measure the effect of certain quantities within a wind farm (e.g.
power measurement, strains, flows) also bound the implementation by their physical constraints.
Important aspects are: bandwidth, reliability, availability, accuracy, robustness and resolution.