Articles | Volume 11, issue 10
https://doi.org/10.5194/wes-11-3887-2026
https://doi.org/10.5194/wes-11-3887-2026
Research article
 | 
15 Oct 2026
Research article |  | 15 Oct 2026

A multi-stage methodology for wind park inter-array cabling: graph preparation, routing, and sizing

Bernardo Castro Valerio, Pieter M. O. Gebraad, Marc Cheah-Mane, Vinicius A. Lacerda, and Oriol Gomis-Bellmunt

Related authors

What matters for wind farm layout optimization? An assessment based on the effective layout distance
Matteo Baricchio, Jenna Iori, Pieter M. O. Gebraad, and Jan-Willem van Wingerden
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2026-176,https://doi.org/10.5194/wes-2026-176, 2026
Preprint under review for WES
Short summary
Multi-strategy wind farm control: alternating wake steering and helix wake mixing on a large-scale wind farm
Matteo Baricchio, Daan van der Hoek, Tim Dammann, Pieter M. O. Gebraad, Jenna Iori, and Jan-Willem van Wingerden
Wind Energ. Sci., 11, 2817–2843, https://doi.org/10.5194/wes-11-2817-2026,https://doi.org/10.5194/wes-11-2817-2026, 2026
Short summary
Optimizing the operation of energy islands with predictive nonlinear programming – a case study based on the Princess Elisabeth Energy Island
Mario Useche-Arteaga, Pieter Gebraad, Vinicius Lacerda, Marc Cheah-Mane, and Oriol Gomis-Bellmunt
Wind Energ. Sci., 11, 349–372, https://doi.org/10.5194/wes-11-349-2026,https://doi.org/10.5194/wes-11-349-2026, 2026
Short summary
Evaluating the potential of a wake steering co-design for wind farm layout optimization through a tailored genetic algorithm
Matteo Baricchio, Pieter M. O. Gebraad, and Jan-Willem van Wingerden
Wind Energ. Sci., 9, 2113–2132, https://doi.org/10.5194/wes-9-2113-2024,https://doi.org/10.5194/wes-9-2113-2024, 2024
Short summary

Cited articles

ABB: XLPE Land Cable Systems: User's Guide, ABB, rev. 5 edn., 2010a. a, b, c
ABB: XLPE Submarine Cable Systems: Attachment to XLPE Land Cable Systems – User's Guide, ABB, rev. 5 edn., https://new.abb.com/docs/default-source/ewea-doc/xlpe-submarine-cable-systems-2gm5007.pdf (last access: 18 September 2026), 2010b. a, b, c
Bae, I.-S., Son, E.-T., Kim, S.-Y., and Kim, D.-M.: Optimum Cable Sizing for Offshore Wind Farms Using Binary Integer Programming, IEEE Access, 11, 132708–132717, https://doi.org/10.1109/ACCESS.2023.3336163, 2023. a
BGV Associates: Wind Farm Costs, https://guidetoanoffshorewindfarm.com/wind-farm-costs/ (last access: 18 September 2026), 2025. a
Bonami, P., Biegler, L. T., Conn, A. R., Cornuéjols, G., Grossmann, I. E., Laird, C. D., Lee, J., Lodi, A., Margot, F., Sawaya, N., and Wächter, A.: An algorithmic framework for convex mixed integer nonlinear programs, Discrete Optimization, 5, 186–204, https://doi.org/10.1016/j.disopt.2006.10.011, 2008. a
Download
Short summary
Designing inter-array cable networks is a key challenge in wind farm development. This work proposes a methodology that combines graph-based routing with mixed-integer optimisation to determine cable routes and conductor sizes while accounting for spatial constraints and electrical limits. Two strategies are investigated: an integrated optimisation and a sequential approach. The method is tested on routes from existing offshore and onshore wind farms.
Share
Altmetrics
Final-revised paper
Preprint