Wind plant system engineering through optimization of layout and yaw control
- National Renewable Energy Laboratory 15013 Denver West Parkway Golden Colorado 80401 USA
- Delft Center for Systems and Control Delft University of Technology Mekelweg 2 (3mE building) Delft 2628 CD the Netherlands
Recent research has demonstrated exciting potential for wind plant control systems to improve the cost of energy of wind plants. Wind plant controls seek to improve global wind plant performance over control systems in which each turbine optimizes only its individual performance by accounting for the way wind turbines interact through their wakes. Although these technologies can be applied to existing wind plants, it is probable that the maximum benefit would be derived by designing wind plants with these capabilities in mind. In this paper, we use system engineering approaches to perform coupled wind plant controls and position layout optimizations of a model wind plant. Using several cost metrics, we compare the results of this optimization to the original plant and to plants in which the control or layout is optimized separately or sequentially. Results demonstrate that the benefit of this coupled optimization can be substantial, but it depends on the particular constraints of the optimization. Copyright © 2015 John Wiley & Sons, Ltd.
- Sponsoring Organization:
- USDOE
- OSTI ID:
- 1401376
- Alternate ID(s):
- OSTI ID: 1236953
- Journal Information:
- Wind Energy, Journal Name: Wind Energy Journal Issue: 2 Vol. 19; ISSN 1095-4244
- Publisher:
- Wiley Blackwell (John Wiley & Sons)Copyright Statement
- Country of Publication:
- United Kingdom
- Language:
- English
Similar Records
Maximization of the annual energy production of wind power plants by optimization of layout and yaw-based wake control: Maximization of wind plant AEP by optimization of layout and wake control
Uncertainty quantification of infinite aligned wind farm performance using non‐intrusive polynomial chaos and a distributed roughness model