A closed-loop platform for rapid power systems prototyping. It includes four independent sub-packages: ANDES for dynamic simulation, AMS for market simulation (under development), DiME for distributed messaging, and AGVis for geo-visualization. Towards a one-stop solution, these packages can be used individually or together.
| Documentation | LTB | ANDES | AMS | AGVis | DiME |
|---|---|---|---|---|---|
| Latest | |||||
| Stable |
The LTB platform offers several features for power systems testing and prototyping, including dynamic simulation, market simulation, geographical visualization, real-time simulation, and dispatch-dynamic co-simulation.
Having trouble with dispatch in a dynamic simulation? ANDES provides interoperability for scheduling, which supports secure dispatch in dynamic simulations.
Finding it difficult to navigate through multiple software APIs? The LTB platform offers user-friendly tools like ANDES that can help you prototype new algorithms and models.
Looking for geographical visualization? AGVis allows for flexible customization of geographical visualization.
Are you interested in real-time closed-loop simulation? LTB integrates simulators and communication environments, providing you with a powerful platform to prototype and test power system controls and algorithms.
If you use LTB packages for research or consulting, we kindly request you to cite the following papers in your publication that uses LTB
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.
Parsly, N., Wang, J., West, N., Zhang, Q., Cui, H., & Li, F. (2022). "DiME and AGVIS A Distributed Messaging Environment and Geographical Visualizer for Large-scale Power System Simulation". arXiv. https://doi.org/https://arxiv.org/abs/2211.11990v1
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.
To explore research collaboration opportunities with the LTB team, please contact us at contact.
LTB is licensed under the GPL v3 License.