Regularized Benders Decomposition for High Performance Capacity Expansion Models: Data and Code
<p>This dataset contains all code, input and results data relevant to the working paper <a href="https://arxiv.org/abs/2403.02559">‘Regularized Benders Decomposition for High Performance Capacity Expansion Models’</a>, in IEEE Transactions on Power Systems DOI 10.1109/TPWRS.2025.3526413.</p> <p>The dataset is comprised of three folders:<br><br><code><em>GenX-Benders.zip</em></code> Contains the source code used in this study, which extends the open-source electricity capacity expansion model GenX (<a href="https://github.com/GenXProject/GenX.jl/releases/tag/v0.3.5">@v0.3.5</a>), implementing different regularized Benders decomposition algorithms as solving routines.</p> <p><em><code>Test_Systems.zip</code> </em>Includes the input files for generating the GenX model for the five considered test systems. Note that GenX-Brazil has been derived from the <a href="https://gitlab.com/dlr-ve/esy/open-brazil-energy-data">Open Brazil Energy Data</a> as detailed in the manuscript.<br><br><em><code>Results.zip</code> </em>Includes all result files for the computaitonal experiments reported in the manuscript.</p>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 4