EGRET is a Python-based package for electrical grid optimization based on the Pyomo optimization modeling language. EGRET is designed to be friendly for performing high-level analysis (e.g., as an engine for solving different optimization formulations), while also providing flexibility for researchers to rapidly explore new optimization formulations.
Major features:
EGRET is available under the BSD License (see LICENSE.txt)
EGRET is a Python package and therefore requires a Python installation. We recommend using Anaconda with the latest Python (https://www.anaconda.com/distribution/).
These installation instructions assume that you have a recent version of Pyomo installed, in addition to a suite of relevant solvers (see www.pyomo.org for additional details).
Download (or clone) EGRET from this GitHub site.
From the main EGRET folder (i.e., the folder containing setup.py), use a terminal (or the Anaconda prompt for Windows users) to run setup.py to install EGRET into your Python installation - as follows:
pip install -e .
We additionally recommend that EGRET users install the open source CBC MIP solver. The specific mechanics of installing CBC are platform-specific. When using Anaconda on Linux and Mac platforms, this can be accomplished simply by:
conda install -c conda-forge coincbc
The COIN-OR organization - who developers CBC - also provides pre-built binaries for a full range of platforms on https://bintray.com/coin-or/download.
To test the functionality of the unit commitment aspects of EGRET, execute the following command from the EGRET models/tests sub-directory:
pytest test_unit_commitment.py
If EGRET can find a commerical MIP solver on your system via Pyomo, EGRET will execute a large test suite including solving several MIPs to optimality. If EGRET can only find an open-source solver, it will execute a more limited test suite which mostly relies on solving LP relaxations. Example output is below.
=================================== test session starts ==================================
platform darwin -- Python 3.7.7, pytest-5.4.2, py-1.8.1, pluggy-0.13.0
rootdir: /home/some-user/egret
collected 21 items
test_unit_commitment.py s.................... [100%]
========================= 20 passed, 1 skipped in 641.80 seconds =========================
If you are using the unit commitment functionality of EGRET, please cite the following paper:
On Mixed-Integer Programming Formulations for the Unit Commitment Problem Bernard Knueven, James Ostrowski, and Jean-Paul Watson. INFORMS Journal on Computing (Ahead of Print) https://pubsonline.informs.org/doi/10.1287/ijoc.2019.0944
FAQs
EGRET: Electrical Grid Research and Engineering Tools.
We found that gridx-egret demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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