Abstract
Wake steering is a wind farm control strategy in which upstream turbines operate with a yaw misalignment to deflect their wakes away from downstream turbines, yielding a net power gain for the wind plant. But the inability of wake steering controllers to perfectly track the wind direction leads to suboptimal performance. In this paper, we propose the use of preview wind direction measurements upstream of the turbine to improve controller performance by anticipating wind direction changes. Further, data from an operational wind plant are used to determine realistic preview measurement accuracy. Using the FLORIS engineering wind farm control tool, we compare the performance of standard and preview-enabled baseline and wake steering control for a two-turbine array during below-rated operation. Assuming perfect preview information, preview-based wake steering increases energy production by the equivalent of 9.5% of the baseline wake losses, compared to a wake loss recovery of 5.6% with standard wake steering. However, when realistic measurement accuracy is included, the preview-based controller provides no advantage over standard control, motivating the need for more sophisticated control and wind direction forecasting strategies.
Original language | American English |
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Number of pages | 10 |
State | Published - 2021 |
Event | 2021 American Control Conference - Duration: 25 May 2021 → 28 May 2021 |
Conference
Conference | 2021 American Control Conference |
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Period | 25/05/21 → 28/05/21 |
NREL Publication Number
- NREL/CP-5000-79249
Keywords
- FLORIS
- longitudinal coherence
- preview
- wake steering
- wind farm control