Skip to main content

Python software for scheduling modeling and co-simulation with dynanics.

Project description

LTB AMS

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

License: GPL-3.0 platforms Python Versions Repo Size GitHub last commit (master) GitHub last commit (develop) libraries Structure

CURENT ERC Logo
Latest Stable
Documentation Latest Documentation Documentation Status
Badges
Downloads PyPI Version Conda Version
Try on Binder Binder
Code Quality Codacy Badge Codacy Badge
Build Status GitHub Action Status Build Status

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
DCOPF Time

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

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

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

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


Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ltbams-0.9.10.tar.gz (2.4 MB view details)

Uploaded Source

File details

Details for the file ltbams-0.9.10.tar.gz.

File metadata

  • Download URL: ltbams-0.9.10.tar.gz
  • Upload date:
  • Size: 2.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for ltbams-0.9.10.tar.gz
Algorithm Hash digest
SHA256 7eb0b4d6cee959a4ff5f12d229cbc03436742a179721159dc6fce7cd8232c4b0
MD5 5c057296eb27f552e0cdbb34b72fc51c
BLAKE2b-256 79459a51a2d46bee14ba5cf64d9dd3d43a8789009e1936fbdbc1f342df093ead

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page