Offshore Wind Farming
In this example, you’ll learn how to solve an offshore wind power generation problem. The goal of the problem is to figure out which underwater cables should be laid to connect an offshore wind farm power network at a minimum cost. We’ll show you how to formulate a mixed-integer programming (MIP) model of this problem using the Gurobi Python API and then find an optimal solution to the problem using the Gurobi Optimizer.
This modeling example is at the beginner level, where we assume that you know Python and that you have some knowledge about building mathematical optimization models.
Access the Jupyter Notebook Modeling Example
Click on the button below to be directed to the GitHub HTML page, where you can download the repository for the Offshore Wind Farming Jupyter Notebook modeling example.
How to Run the Example
-To run the example the first time, choose “Runtime” and then click “Run all”.
-All the cells in the Jupyter Notebook will be executed.
-The example will install the gurobipy package, which includes a limited Gurobi license that allows you to solve small models.
-You can also modify and re-run individual cells.
-For subsequent runs, choose “Runtime” and click “Restart and run all”.
-The Gurobi Optimizer will find the optimal solution of the modeling example.
Check out the Colab Getting Started Guide for full details on how to use Colab Notebooks as well as create your own.
We’re happy to assist you. Please contact us using this form, and a Gurobi representative will get back to you shortly.
- Free Consultations
- General Inquiries
- Gurobi Optimizer Questions
Can’t view the form? Please email us at email@example.com.