PyPSA / PyPSA/linopy

Quadratic Constraints and/or objective

Open
#444 2 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

enhancement model formulation
Dominant language
Python
Stars
257
Forks
87
Avg merge
1d 3h
Merged PRs (30d)
29

Description

Non linear constraints can greatly improve the capabilities of a MILP-Model --> MIQP.
The ability to use these kinds of constraints can be found in the linopy docs, but I only see the option to form a QuadraticExpression. But these cannot be used to from proper constraints and therefore constraint a variable.
This seems rather useless to me. Or am I overlooking something obvious?

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing the linopy documentation for QuadraticExpression and the current constraint-building API. Determine how quadratic constraints and objectives are expected to be represented, then define the supported behavior and validation needed for a complete implementation; the issue names no files or tests.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
backend
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.