Articles | Volume 8, issue 8
https://doi.org/10.5194/wes-8-1341-2023
https://doi.org/10.5194/wes-8-1341-2023
Research article
 | 
25 Aug 2023
Research article |  | 25 Aug 2023

Enabling control co-design of the next generation of wind power plants

Andrew P. J. Stanley, Christopher J. Bay, and Paul Fleming

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A comparison of eight optimization methods applied to a wind farm layout optimization problem
Jared J. Thomas, Nicholas F. Baker, Paul Malisani, Erik Quaeghebeur, Sebastian Sanchez Perez-Moreno, John Jasa, Christopher Bay, Federico Tilli, David Bieniek, Nick Robinson, Andrew P. J. Stanley, Wesley Holt, and Andrew Ning
Wind Energ. Sci., 8, 865–891, https://doi.org/10.5194/wes-8-865-2023,https://doi.org/10.5194/wes-8-865-2023, 2023
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Cited articles

Balasubramanian, K., Thanikanti, S. B., Subramaniam, U., Sudhakar, N., and Sichilalu, S.: A novel review on optimization techniques used in wind farm modelling, Renewable Energy Focus, 35, 84–96, 2020. a
Campagnolo, F., Weber, R., Schreiber, J., and Bottasso, C. L.: Wind tunnel testing of wake steering with dynamic wind direction changes, Wind Energ. Sci., 5, 1273–1295, https://doi.org/10.5194/wes-5-1273-2020, 2020. a
Enevoldsen, P. and Xydis, G.: Examining the trends of 35 years growth of key wind turbine components, Energy Sustain. Dev., 50, 18–26, 2019. a
Fleming, P., Annoni, J., Shah, J. J., Wang, L., Ananthan, S., Zhang, Z., Hutchings, K., Wang, P., Chen, W., and Chen, L.: Field test of wake steering at an offshore wind farm, Wind Energ. Sci., 2, 229–239, https://doi.org/10.5194/wes-2-229-2017, 2017. a
Fleming, P., King, J., Dykes, K., Simley, E., Roadman, J., Scholbrock, A., Murphy, P., Lundquist, J. K., Moriarty, P., Fleming, K., van Dam, J., Bay, C., Mudafort, R., Lopez, H., Skopek, J., Scott, M., Ryan, B., Guernsey, C., and Brake, D.: Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1, Wind Energ. Sci., 4, 273–285, https://doi.org/10.5194/wes-4-273-2019, 2019. a
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Short summary
Better wind farms can be built by simultaneously optimizing turbine locations and control, which is currently impossible or extremely challenging because of the size of the problem. The authors present a method to determine optimal wind farm control as a function of the turbine locations, which enables turbine layout and control to be optimized together by drastically reducing the size of the problem. In an example, a wind farm's performance improves by 0.8 % when optimized with the new method.
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