Posters
Come meet the poster presenters to ask them questions and discuss their work
We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in industry and the academic community.
PO106: To yaw or not to yaw? Risk-averse wake steering control investigated in the time domain withuncertain wind directions
Marcus Becker, PostDoc in Wind Energy and Hybrid Power Plants, TU Delft
Abstract
Wind farms are subject to wake losses, induced by upstream turbines extracting energy from the flow and leaving a wake that reduces the power generated by downstream turbines. These losses can partially be mitigated by wake steering. This wake control strategy intentionally adds a yaw offset to the turbine rotor to redirect the wake away from a downstream turbine. The current state-of-the-art is to derive control setpoints from steady-state engineering models for given wind direction and speed bins. The optimal control setpoints, however, are sensitive to the current wind direction in conjunction with the wind farm layout. To address this sensitivity, established methods test yaw offset angles in multiple steady-state simulations surrounding the main wind direction, as dynamic simulations are traditionally deemed too expensive. Recently, low computational cost dynamic engineering wake models have become available, which poses the following questions: Given an uncertain wind direction future, what are robust yaw setpoints from a dynamic point of view? How does the cost of transitioning from one angle to another affect the optimal solution? How long does it take to recoup these costs? The research investigates these questions and presents methods to include the uncertainty surrounding an expected gain into a cost function. To get the complete picture of possible control decisions, a two-turbine wind farm is simulated in numerous conditions – different wind directions, initial and final orientations, large and small wind direction variations. The data provides the expected power and energy generated by the farm, as well as the related uncertainty over time. The results highlight how cost functions return different optimal misalignment angles once uncertainty is considered. They also show that the choice of baseline impacts the optimal misalignment angles. The product of the research is a methodology to generate ready-to-apply look-up table controllers that provide uncertainty-aware yaw angle setpoints.
No recording available for this poster.
