Wind plant system engineering through optimization of layout and yaw control
Abstract
Abstract 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.
- Authors:
-
- 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
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1401376
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Wind Energy
- Additional Journal Information:
- Journal Name: Wind Energy Journal Volume: 19 Journal Issue: 2; Journal ID: ISSN 1095-4244
- Publisher:
- Wiley Blackwell (John Wiley & Sons)
- Country of Publication:
- United Kingdom
- Language:
- English
Citation Formats
Fleming, Paul A., Ning, Andrew, Gebraad, Pieter M. O., and Dykes, Katherine. Wind plant system engineering through optimization of layout and yaw control. United Kingdom: N. p., 2015.
Web. doi:10.1002/we.1836.
Fleming, Paul A., Ning, Andrew, Gebraad, Pieter M. O., & Dykes, Katherine. Wind plant system engineering through optimization of layout and yaw control. United Kingdom. https://doi.org/10.1002/we.1836
Fleming, Paul A., Ning, Andrew, Gebraad, Pieter M. O., and Dykes, Katherine. Wed .
"Wind plant system engineering through optimization of layout and yaw control". United Kingdom. https://doi.org/10.1002/we.1836.
@article{osti_1401376,
title = {Wind plant system engineering through optimization of layout and yaw control},
author = {Fleming, Paul A. and Ning, Andrew and Gebraad, Pieter M. O. and Dykes, Katherine},
abstractNote = {Abstract 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.},
doi = {10.1002/we.1836},
journal = {Wind Energy},
number = 2,
volume = 19,
place = {United Kingdom},
year = {Wed Mar 18 00:00:00 EDT 2015},
month = {Wed Mar 18 00:00:00 EDT 2015}
}
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https://doi.org/10.1002/we.1836
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Works referenced in this record:
pyOpt: a Python-based object-oriented framework for nonlinear constrained optimization
journal, May 2011
- Perez, Ruben E.; Jansen, Peter W.; Martins, Joaquim R. R. A.
- Structural and Multidisciplinary Optimization, Vol. 45, Issue 1
Evaluating techniques for redirecting turbine wakes using SOWFA
journal, October 2014
- Fleming, Paul A.; Gebraad, Pieter M. O.; Lee, Sang
- Renewable Energy, Vol. 70
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
journal, January 2005
- Gill, Philip E.; Murray, Walter; Saunders, Michael A.
- SIAM Review, Vol. 47, Issue 1
Load alleviation of wind turbines by yaw misalignment: Load alleviation of wind turbines by yaw misalignment
journal, April 2013
- Kragh, Knud A.; Hansen, Morten H.
- Wind Energy, Vol. 17, Issue 7
Wind farm control: Addressing the aerodynamic interaction among wind turbines
conference, June 2009
- Johnson, Kathryn E.; Thomas, Naveen
- 2009 American Control Conference
A Review of Methodological Approaches for the Design and Optimization of Wind Farms
journal, October 2014
- Herbert-Acero, José; Probst, Oliver; Réthoré, Pierre-Elouan
- Energies, Vol. 7, Issue 11
Review of computational fluid dynamics for wind turbine wake aerodynamics
journal, February 2011
- Sanderse, B.; Pijl, S. P.; Koren, B.
- Wind Energy, Vol. 14, Issue 7, p. 799-819
State-space representation of the wind flow model in wind farms: Wind flow model in wind farms
journal, February 2013
- Soleimanzadeh, Maryam; Wisniewski, Rafael; Brand, Arno
- Wind Energy, Vol. 17, Issue 4
An engineering model for yawed conditions, developed on basis of wind tunnel measurements
conference, August 1999
- Schepers, J.
- 37th Aerospace Sciences Meeting and Exhibit
A Model-Free Approach to Wind Farm Control Using Game Theoretic Methods
journal, July 2013
- Marden, Jason R.; Ruben, Shalom D.; Pao, Lucy Y.
- IEEE Transactions on Control Systems Technology, Vol. 21, Issue 4
Experimental investigation of wake effects on wind turbine performance
journal, August 2011
- Adaramola, M. S.; Krogstad, P. -Å.
- Renewable Energy, Vol. 36, Issue 8
Maximum power-point tracking control for wind farms: Maximum power-point tracking control for wind farms
journal, February 2014
- Gebraad, P. M. O.; van Wingerden, J. W.
- Wind Energy, Vol. 18, Issue 3
Evaluating wake models for wind farm control
conference, June 2014
- Annoni, Jennifer; Seiler, Peter; Johnson, Kathryn
- 2014 American Control Conference - ACC 2014
A distributed optimization framework for wind farms
journal, December 2013
- Soleimanzadeh, Maryam; Wisniewski, Rafael; Johnson, Kathryn
- Journal of Wind Engineering and Industrial Aerodynamics, Vol. 123
Application of a LES technique to characterize the wake deflection of a wind turbine in yaw
journal, December 2009
- Jiménez, Ángel; Crespo, Antonio; Migoya, Emilio
- Wind Energy, Vol. 13, Issue 6