Maximization of the Power Production of an Offshore Wind Farm
Source abstract
Abstract
Operating wind turbines together as a wind farm can be more advantageous and economical. As a result, onshore and offshore wind farms are being built at a rapid pace around the world. Wake effects, which have a negative impact on overall wind farm electricity generation, are one of the key concerns in wind farms. This work concentrates on the maximization of power output from wind farms by ameliorating the wake effect. This work introduces a dynamic wind farm controller that adjusts turbines’ yaw angles or axial induction factors following the flow field conditions to maximize the overall power output of the wind farm. This research examines a real-life offshore wind farm in South Korea and the wind farm controller is evaluated in Wind Farm Simulator (WFSim), a control-oriented dynamic wind farm model environment built by Delft University of Technology. The main contribution of this work includes investigating the impact of wind farm control methods on the power production of a wind farm model that simulates a real-life wind farm.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Wind Energy Research and Development · Wind Turbine Control Systems · Wave and Wind Energy Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Korea
School of Electronics Engineering, Kyungpook National University, Daegu 41566, Korea
Funding
Korea Institute of Energy Technology Evaluation and Planning
References (35)
Show source-provided references
1. Wind-turbine and wind-farm flows: A review10.1007/s10546-019-00473-0 ↗
2. Scholbrock, A.K. (2011). Optimizing Wind Farm Control Strategies to Minimize Wake Loss Effects, University of Colorado at Boulder.
3. Sanderse, B. (2009). Aerodynamics of Wind Turbine Wakes-Literature Review, Energy Research Centre of the Netherlands. Technical Report.
4. Robust active wake control in consideration of wind direction variability and uncertainty10.5194/wes-3-869-2018 ↗
5. Survey of wind farm control—Power and fatigue optimization10.1002/we.1760 ↗
6. A quantitative review of wind farm control with the objective of wind farm power maximization10.1016/j.jweia.2019.06.015 ↗
7. Kazda, J., Mirzaei, M., and Cutululis, N.A. (2018, January 27–29). On the architecture of wind turbine control required for induction-based optimal wind farm control. Proceedings of the 2018 Annual American Control Conference (ACC), Milwaukee, WI, USA.10.23919/ACC.2018.8431663 ↗
8. Kim, H., Kim, K., and Paek, I. (2017). Model based open-loop wind farm control using active power for power increase and load reduction. Appl. Sci., 7.10.3390/app7101068 ↗
9. Johnson, K.E., and Thomas, N. (2009, January 10–12). Wind farm control: Addressing the aerodynamic interaction among wind turbines. Proceedings of the 2009 American Control Conference, St. Louis, MO, USA.10.1109/ACC.2009.5160152 ↗
10. Munters, W., and Meyers, J. (2018). Dynamic strategies for yaw and induction control of wind farms based on large-eddy simulation and optimization. Energies, 11.10.3390/en11010177 ↗
11. Wind farm power optimization via yaw angle control: A wind tunnel study10.1063/1.5077038 ↗
12. Initial results from a field campaign of wake steering applied at a commercial wind farm—Part 110.5194/wes-4-273-2019 ↗
13. Continued results from a field campaign of wake steering applied at a commercial wind farm—Part 210.5194/wes-5-945-2020 ↗
14. Shin, J., Baek, S., and Rhee, Y. (2021). Wind Farm Layout Optimization Using a Metamodel and EA/PSO Algorithm in Korea Offshore. Energies, 14.10.3390/en14010146 ↗
15. Optimal Placement of Wind Turbines in Wind Farm Layout Using Particle Swarm Optimization10.35833/MPCE.2019.000087 ↗
16. Wind farm power optimization through wake steering10.1073/pnas.1903680116 ↗
17. Analysis of axial-induction-based wind plant control using an engineering and a high-order wind plant model10.1002/we.1891 ↗
18. Effects of axial induction control on wind farm energy production-a field test10.1016/j.renene.2019.03.117 ↗
19. Experimental testing of axial induction based control strategies for wake control and wind farm optimization10.1088/1742-6596/753/3/032035 ↗
20. Gebraad, P.M., Fleming, P.A., and van Wingerden, J.W. (2015, January 1–3). Comparison of actuation methods for wake control in wind plants. Proceedings of the 2015 American Control Conference (ACC), Chicago, IL, USA.10.1109/ACC.2015.7170977 ↗
21. Optimizing wind farm control through wake steering using surrogate models based on high-fidelity simulations10.5194/wes-5-309-2020 ↗
22. Wake steering via yaw control in multi-turbine wind farms: Recommendations based on large-eddy simulation
23. Yaw-misalignment and its impact on wind turbine loads and wind farm power output10.1088/1742-6596/753/6/062013 ↗
24. Wind farm power maximization through wake steering with a new multiple wake model for prediction of turbulence intensity10.1016/j.energy.2020.119680 ↗
25. Field test of wake steering at an offshore wind farm10.5194/wes-2-229-2017 ↗
26. A control-oriented dynamic wind farm model: WFSim10.5194/wes-3-75-2018 ↗
27. Ramírez Castillo, S.A. (2019). Engineering Models Enhancement for Wind Farm Wake Simulation and Optimization. [Graduation Thesis, Polytechnic University of Milan (Politecnico di Milano)].
28. A control-oriented dynamic wind farm flow model: “WFSim”10.1088/1742-6596/753/3/032005 ↗
29. Frederik, J. (2017). Dynamic Wind Farm Control Using the WFSim Flow Model. [Master’s Thesis, Delft Center for Systems and Control (DCSC), Delft University of Technology].
30. Meyers, J., and Meneveau, C. (2010, January 4–7). Large eddy simulations of large wind-turbine arrays in the atmospheric boundary layer. Proceedings of the 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, Orlando, FL, USA.10.2514/6.2010-827 ↗
31. (2021, October 15). Global Wind Atlas. Available online: https://globalwindatlas.info/.
32. Experimental investigation of wake effects on wind turbine performance10.1016/j.renene.2011.01.024 ↗
33. Barthelmie, R., Hansen, K., Frandsen, S., Rathmann, O., Schepers, J., Schlez, W., Phillips, J., Rados, K., Zervos, A., and Politis, E. (2018). Modelling and Measuring Flow and Wind Turbine Wakes in Large Wind Farms Offshore. Renewable Energy, Routledge.10.4324/9781315793245-97 ↗
34. Wake effects at Horns Rev and their influence on energy production
35. The role of atmospheric stability/turbulence on wakes at the Egmond aan Zee offshore wind farm10.1088/1742-6596/625/1/012002 ↗