Articles | Volume 8, issue 9
Research article
19 Sep 2023
Research article |  | 19 Sep 2023

A neighborhood search integer programming approach for wind farm layout optimization

Juan-Andrés Pérez-Rúa, Mathias Stolpe, and Nicolaos Antonio Cutululis

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Cited articles

Archer, R., Nates, G., Donovan, S., and Waterer, H.: Wind turbine interference in a wind farm layout optimization mixed integer linear programming model, Wind Engergy, 35, 165–175,, 2011. a
Baker, N., Stanley, A., Thomas, J., Ning, A., and Dykes, K.: Best practices for wake model and optimization algorithm selection in wind farm layout optimization, in: AIAA Scitech 2019 Forum, 0540,, 2019. a, b, c, d, e, f, g, h, i, j
Bastankhah, M. and Porté-Agel, F.: Experimental and theoretical study of wind turbine wakes in yawed conditions, J. Fluid Mech., 806, 506–541,, 2016. a
Cazzaro, D. and Pisinger, D.: Variable neighborhood search for large offshore wind farm layout optimization, Comput. Oper. Res., 138, 105588,, 2022. a
Cazzaro, D., Koza, D. F., and Pisinger, D.: Combined layout and cable optimization of offshore wind farms, Eur. J. Oper. Res., 311, 301–315,, 2023. a
Short summary
With the challenges of ensuring secure energy supplies and meeting climate targets, wind energy is on course to become the cornerstone of decarbonized energy systems. This work proposes a new method to optimize wind farms by means of smartly placing wind turbines within a given project area, leading to more green-energy generation. This method performs satisfactorily compared to state-of-the-art approaches in terms of the resultant annual energy production and other high-level metrics.
Final-revised paper