PyPSA / PyPSA/linopy

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

Description

Hello,

I'm opening this issue to raise attention on SOCP and quadratic modelling that may be highly interesting for some energy system applications, and I'm wondering if they have been considered for linopy as potential upgrades.

SOCP and QP are clearly non linear, so they may not suite the purpose of the package but may be highly valuable for power systems.
Moreover, many solvers now support those techniques, so I was wondering if there is any plan to support those techniques

Contributor guide

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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

No files, tests, or entry points are named. Start by reviewing linopy's current linear-optimization scope and the solver support mentioned in the issue; done would require an agreed plan defining whether and how SOCP and quadratic modelling should be supported.

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
Needs clarification
Newbie friendliness
20/100

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