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LTB AMS

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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Why AMS

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.

Cost [$]	AMS	MATPOWER	pandapower
PEGASE 1354-Bus	1,173,590.63	1,173,590.63	1,173,590.63
PEGASE 2869-Bus	2,338,915.61	2,338,915.61	2,338,915.61
GOC 4020-Bus	793,634.11	793,634.11	793,634.11
EPIGRIDS 5658-Bus	1,195,466.12	1,195,466.12	1,195,466.12
EPIGRIDS 7336-Bus	1,855,870.94	1,855,870.94	1,855,870.94

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

Installation

NOTE:

Version 0.9.9 has known issues. Please avoid using this version
kvxopt is recommended to install via conda as sometimes pip struggles to set the correct path for compiled libraries
cvxpy versions below 1.5 are incompatible with numpy versions 2.0 and above

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

Example Usage

Using AMS to run a Real-Time Economic Dispatch (RTED) simulation:

import ams

ss = ams.load(ams.get_case('ieee14_uced.xlsx'))
ss.RTED.run()

print(ss.RTED.pg.v)

Sponsors and Contributors

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.

License

AMS is licensed under the GPL v3 License.

Related Projects

Popular Open Source Libraries for Power System Analysis
G-PST Tools Portal: An open tools portal with a classification approach
Open Source Software (OSS) for Electricity Market Research, Teaching, and Training

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