Regularized Benders Decomposition for High Performance Capacity Expansion Models: Data and Code

This dataset contains all code, input and results data relevant to the working paper ‘Regularized Benders Decomposition for High Performance Capacity Expansion Models’, in IEEE Transactions on Power Systems DOI 10.1109/TPWRS.2025.3526413. The dataset is comprised of three folders:GenX-Benders.zip Contains the source code used in this study, which extends the open-source electricity capacity expansion model GenX (@v0.3.5), implementing different regularized Benders decomposition algorithms as solving routines. Test_Systems.zip Includes the input files for generating the GenX model for the five considered test systems. Note that GenX-Brazil has been derived from the Open Brazil Energy Data as detailed in the manuscript.Results.zip Includes all result files for the computaitonal experiments reported in the manuscript.本数据集包含与发表于《IEEE电力系统汇刊》（DOI: 10.1109/TPWRS.2025.3526413）的工作论文《正则化本德分解法用于高性能容量扩展模型》相关的全部代码、输入数据与结果数据。 该数据集由三个压缩文件夹组成： 1. GenX-Benders.zip：内含本研究使用的源代码，该代码基于开源电力容量扩展模型GenX（v0.3.5）进行拓展，实现了多种正则化本德分解算法作为求解例程； 2. Test_Systems.zip：包含为所研究的五个测试系统生成GenX模型所需的输入文件，需注意GenX-Brazil数据集源自公开巴西能源数据，具体细节详见本论文手稿； 3. Results.zip：包含本论文中报告的全部计算实验对应的结果文件。