Python Software for Power System Scheduling Modeling and Co-Simulation with Dynanic, serving as the market simulator for the CURENT Largescale Testbed.

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With the built-in interface with dynamic simulation engine, ANDES, AMS enables Dynamics Interfaced Stability Constrained Production Cost and Market Operation Modeling.

AMS produces credible scheduling results and competitive performance. The following results show the comparison of DCOPF between AMS and other tools.

AMS is currently under active development. Use the following resources to get involved.

• Start from the documentation for installation and tutorial.
• Check out examples in the examples folder
• Read the model verification results in the examples/verification folder
• Ask a question in the GitHub Discussions
• Report bugs or issues by submitting a GitHub issue
• Submit contributions using pull requests
• Read release notes highlighted here
• Try in Jupyter Notebook on Binder

AMS is released as ltbams on PyPI and conda-forge. Install from PyPI using pip:

pip install ltbams

Install from conda-forge using conda:

conda install conda-forge::ltbams

Install from GitHub source:

pip install git+https://github.com/CURENT/ams.git

AMS is the scheduling simulation engine for the CURENT Largescale Testbed (LTB). More information about CURENT LTB can be found at the LTB Repository.

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.

This work was supported in part by the Advanced Grid Research and Development Program in the Office of Electricity at the U.S. Department of Energy.

See GitHub contributors for the contributor list.

AMS is licensed under the GPL v3 License.

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Some commercial solvers provide academic licenses, such as COPT, GUROBI, CPLEX, and MOSEK.