ACDC-OpFlow, Unified, Cross-Language Framework for AC/DC Optimal Power Flow Solutions

DOI:10.4121/66318317-4d5d-4dc4-ba5a-5fa65c585520.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/66318317-4d5d-4dc4-ba5a-5fa65c585520

Datacite citation style

Li, Haixiao; Kermansaravi, Azadeh; Dimitrovski, Robert; Lekić, Aleksandra (2025): ACDC-OpFlow, Unified, Cross-Language Framework for AC/DC Optimal Power Flow Solutions. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/66318317-4d5d-4dc4-ba5a-5fa65c585520.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

Repository with Optimal Power Flow (OPF) library in Julia, Python, MATLAB, and C++ done as a part of the Harmony project (HARMONic stabilitY assessment of PE-penetrated power systems).

Hybrid AC/voltage source converter-based multi-terminal DC (VSC-MTDC) power grids play a crucial role in enabling long-distance power transmission and flexible interconnection between AC grids. To fully leverage the functional advantages of such systems, it is essential that they operate in or close to optimal power flow (OPF) conditions. To address this, ACDC-OpFlow is developed as an open-source and cross-language framework for solving AC/DC OPF problems. Its core innovation lies in a unified modeling structure that supports MATLAB, Python, Julia, and C++, with Gurobi used as a consistent solver backend. This framework is beginner-friendly and allows users to work in their preferred programming languages.

History

  • 2025-08-05 first online, published, posted

Publisher

4TU.ResearchData

Format

Python, Julia, MATLAB and C++ files, and models in csv format.

Code hosting project url

https://github.com/CRESYM/ACDC_OPF

Funding

  • Harmony (HARMONic stabilitY assessment of PE-penetrated power systems) (grant code N.A.) [more info...] CRESYM

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Electrical Sustainable Energy

DATA

Files (1)

  • 28,375,812 bytesMD5:383fcb0555edc5b3f6da420060727508v0.1.2.zip