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This is the raw dataset (12.74 GB) for over 8,000 samples from power system time-domain simulation on the IEEE 24-bus test system. This dataset was used for our frequency-constrained SCUC studies that led to multiple papers. This dataset can also be used for frequency-constrained OPF studies.
The download time could be a few hours long due to the size of this dataset. So, you may need to have stable internet to successfully download it.
Test System Description:
- The IEEE 24-bus power system used here is one area out of the three-area system modified IEEE RTS-96 reliability test system (73-bus). The original reference is: “The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee” and link is here.
Citation:
If you use any module/data here for your work, please cite the following papers as your references:
- Mingjian Tuo and Xingpeng Li, “Deep Learning based Security-Constrained Unit Commitment Considering Locational Frequency Stability in Low-Inertia Power Systems”, 54th North American Power Symposium, Salt Lake City, UT, USA, Oct. 2022.
- Mingjian Tuo, Fan Jiang, Xingpeng Li, and Pascal Van Hentenryck, “Inertia-Constrained Generation Scheduling: Sample Selection, Learning-Embedded Optimization Modeling, and Computational Enhancement”, IEEE Transactions on Power Systems, Dec. 2025.
Paper1 website: https://rpglab.github.io/papers/MJ-Tuo_DL_SCUC_LFS-NAPS/
Paper2 website: https://rpglab.github.io/papers/MJ-Tuo-ALSNN-RCUC/
Contributions:
Mingjian Tuo created this dataset. Xingpeng Li supervised this work.
Contact:
Dr. Xingpeng Li
University of Houston
Email: xli83@central.uh.edu
Website: https://rpglab.github.io/
License:
This work is licensed under the terms of the Creative Commons Attribution 4.0 (CC BY 4.0) license.
Disclaimer:
The author doesn’t make any warranty for the accuracy, completeness, or usefulness of any information disclosed; and the author assumes no liability or responsibility for any errors or omissions for the information (data/code/results etc) disclosed.