OptiWindNet Documentation¶

OptiWindNet = Optimize Windfarm Network
(distributed under the MIT License)


Python Package Index (PyPI)	https://pypi.org/project/optiwindnet/
Source code repository	https://gitlab.windenergy.dtu.dk/TOPFARM/OptiWindNet
Issue tracker	https://github.com/DTUWindEnergy/OptiWindNet/issues
Jupyter notebooks used in this manual	https://gitlab.windenergy.dtu.dk/TOPFARM/OptiWindNet/-/tree/main/docs/notebooks

About OptiWindNet¶

OptiWindNet is an electrical network design tool for offshore wind farms developed at the Technical University of Denmark – DTU. The package offers a framework to obtain optimal or near-optimal cable routes for a given turbine layout within the cable-laying boundaries. It provides high-level access to heuristic, meta-heuristic and mathematical optimization approaches to the problem.

The tool is distributed as an open-source Python package that is suitable for use within an interactive Python session (e.g. Jupyter notebook). Alternatively, OptiWindNet’s API can be invoked directly from another application.

What can OptiWindNet do?¶

Optimize the network of array cables;
Route the cables so as to avoid crossings;
Assign cable types and calculate network costs;
Use different optimization approaches according to the preferred time/quality trade-off;
Employ user-provided models and objective functions within the mathematical optimization approach.

Getting Started¶

Setup your Python environment and check the Quickstart to begin using OptiWindNet.

How to Cite¶

A peer-reviewed scientific article explaining the OptiWindNet framework and benchmarking it against state-of-the-art methods is available (open-access) at:

Mauricio Souza de Alencar, Tuhfe Göçmen, Nicolaos A. Cutululis, Flexible cable routing framework for wind farm collection system optimization, European Journal of Operational Research, 2025, ISSN 0377-2217, https://doi.org/10.1016/j.ejor.2025.07.069.

@article{
    SOUZADEALENCAR2025,
    title = {Flexible cable routing framework for wind farm collection system optimization},
    journal = {European Journal of Operational Research},
    year = {2025},
    issn = {0377-2217},
    doi = {https://doi.org/10.1016/j.ejor.2025.07.069},
    url = {https://www.sciencedirect.com/science/article/pii/S0377221725005946},
    author = {Mauricio {Souza de Alencar} and Tuhfe Göçmen and Nicolaos A. Cutululis},
    keywords = {Combinatorial optimization, Network design, Collection system, Wind farm},
}

The OptiWindNet software package can be cited as:

Mauricio Souza de Alencar, Amir Arasteh and Mikkel Friis-Møller. OptiWindNet: An open-source wind farm electrical network optimization tool, DTU Wind and Energy Systems, Technical University of Denmark (2025, March), url: https://gitlab.windenergy.dtu.dk/TOPFARM/OptiWindNet

@software{souza_de_alencar_2026_18400851,
  author       = {Souza de Alencar, Mauricio and
                  Arasteh, Amir and
                  Friis-Møller, Mikkel},
  title        = {DTUWindEnergy/OptiWindNet: OptiWindNet v0.1.6},
  month        = jan,
  year         = 2026,
  publisher    = {Zenodo},
  version      = {v0.1.6},
  doi          = {10.5281/zenodo.18400851},
  url          = {https://doi.org/10.5281/zenodo.18400851},
  swhid        = {swh:1:dir:047c893b761a4bc8e1af7f5447587c301ba93d25
                   ;origin=https://doi.org/10.5281/zenodo.18388438;vi
                   sit=swh:1:snp:de59f2c0875971a38020ed3990e581f7450b
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                  },
}