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Optimization Under Uncertainty for Wake Steering Strategies: Preprint

Conference ·
 [1];  [1];  [1];  [1];  [1];  [2]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  2. Brigham Young University
+ Show Author Affiliations
Wind turbines in a wind power plant experience significant power losses because of aerodynamic interactions between turbines. One control strategy to reduce these losses is known as 'wake steering,' in which upstream turbines are yawed to direct wakes away from downstream turbines. Previous wake steering research has assumed perfect information, however, there can be significant uncertainty in many aspects of the problem, including wind inflow and various turbine measurements. Uncertainty has significant implications for performance of wake steering strategies. Consequently, the authors formulate and solve an optimization under uncertainty (OUU) problem for finding optimal wake steering strategies in the presence of yaw angle uncertainty. The OUU wake steering strategy is demonstrated on a two-turbine test case and on the utility-scale, offshore Princess Amalia Wind Farm. When we accounted for yaw angle uncertainty in the Princess Amalia Wind Farm case, inflow-direction-specific OUU solutions produced between 0% and 1.4% more power than the deterministically optimized steering strategies, resulting in an overall annual average improvement of 0.2%. More importantly, the deterministic optimization is expected to perform worse and with more downside risk than the OUU result when realistic uncertainty is taken into account. Additionally, the OUU solution produces fewer extreme yaw situations than the deterministic solution.
Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
DOE Contract Number:
AC36-08GO28308
OSTI ID:
1357097
Report Number(s):
NREL/CP-5000-68185
Country of Publication:
United States
Language:
English

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Cited By (7)

Detection of wakes in the inflow of turbines using nacelle lidars posted_content January 2019
A Study on the Effect of Closed-Loop Wind Farm Control on Power and Tower Load in Derating the TSO Command Condition journal May 2019
Robust active wake control in consideration of wind direction variability and uncertainty journal January 2018
Active Subspaces for Wind Plant Surrogate Modeling conference January 2018
Robust active wake control in consideration of wind direction variability and uncertainty text January 2018
Detection of wakes in the inflow of turbines using nacelle lidars journal January 2019
Dynamic Strategies for Yaw and Induction Control of Wind Farms Based on Large-Eddy Simulation and Optimization journal January 2018

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Related Subjects

17 WIND ENERGY
control
optimization under uncertainty
wake steering
wind energy
yaw