optiwindnet 0.0.3

Tools for optimizing the electrical cable network (collection system) for offshore wind power plants.

OptiWindNet

Tool for designing and optimizing the electrical cable network (collection system) for offshore wind power plants.

Documentation: https://topfarm.pages.windenergy.dtu.dk/OptiWindNet

• Quickstart
• Download the Jupyter notebooks used in the documentation.
• Report an issue (mirror of OptiWindNet on GitHub)
• API Reference
• How to Cite

Installation

pip install optiwindnet

Detailed instructions in Installation.

Requirements

Python 3.10+. The use of a Python virtual environment is recommended. OptiWindNet's dependencies will be installed automatically when using pip install optiwindnet.

One may pre-install the dependencies in a python environment by using either:

• requirements.txt: pip install -r requirements.txt
• environment.yml: conda env create -f environment.yml (name: optiwindnet_env)

Acknowledgements

The heuristics implemented in this repository (release 0.0.1) are presented and analyzed in the MSc thesis Optimization heuristics for offshore wind power plant collection systems design (DTU Wind - Technical University of Denmark, July 4, 2022)

The meta-heuristic used is vidalt/HGS-CVRP: Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*. via its Python bindings chkwon/PyHygese: A Python wrapper for the Hybrid Genetic Search algorithm for Capacitated Vehicle Routing Problems (HGS-CVRP).

The cable routing relies on a navigation mesh generated by the library artem-ogre/CDT: Constrained Delaunay Triangulation (C++) via its Python bindings - artem-ogre/PythonCDT: Constrained Delaunay Triangulation (Python).