https://github.com/curent/ltb
CURENT Large-Scale Testbed
https://github.com/curent/ltb
cyber-physical-system power-systems simulation
Last synced: 12 days ago
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CURENT Large-Scale Testbed
- Host: GitHub
- URL: https://github.com/curent/ltb
- Owner: CURENT
- License: gpl-3.0
- Created: 2019-03-08T01:57:49.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2025-06-06T00:49:26.000Z (8 months ago)
- Last Synced: 2025-10-28T18:35:23.513Z (3 months ago)
- Topics: cyber-physical-system, power-systems, simulation
- Language: Dockerfile
- Homepage: https://ltb.curent.org
- Size: 1.45 MB
- Stars: 6
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# LTB
CURENT Large-Scale Testbed (LTB) is a closed-loop platform for rapid prototyping and testing of power systems.
This repository serves as a central hub for the LTB platform.
For individual packages, please explore the repositories within this organization.
👉 Visit the [offical homepage](https://curent.github.io) for the latest updates.
## Why LTB
The LTB platform offers several features for power systems testing and prototyping, including dynamics simulation, market simulation, geographical visualization, and their interoperation.
## Citing LTB
If you use LTB packages for research or consulting, we kindly request you to cite the following publications:
> F. Li, K. Tomsovic and H. Cui, "A Large-Scale Testbed as a Virtual Power Grid: For Closed-Loop Controls in Research and Testing," in IEEE Power and Energy Magazine, vol. 18, no. 2, pp. 60-68, March-April 2020, doi: 10.1109/MPE.2019.2959054.
> H. Cui, F. Li and K. Tomsovic, "Hybrid Symbolic-Numeric Framework for Power System Modeling and Analysis," in IEEE Transactions on Power Systems, vol. 36, no. 2, pp. 1373-1384, March 2021, doi: 10.1109/TPWRS.2020.3017019.
> J. Wang et al., "Dynamics-incorporated Modeling Framework for Stability Constrained Scheduling Under High-penetration of Renewable Energy," in IEEE Transactions on Sustainable Energy, doi: 10.1109/TSTE.2025.3528027.
> N. Parsly, J. Wang, N. West, Q. Zhang, H. Cui and F. Li, "DiME and AGVis: A Distributed Messaging Environment and Geographical Visualizer for Large-Scale Power System Simulation," 2023 North American Power Symposium (NAPS), Asheville, NC, USA, 2023, pp. 1-5, doi: 10.1109/NAPS58826.2023.10318583.
## Sponsors
This work was supported in part by the Engineering Research Center Program of the National Science Foundation and the Department of Energy under NSF Award Number EEC-1041877 and the CURENT Industry Partnership Program.
## License
LTB is licensed under the [GPL v3 License](./LICENSE).