Adaptive Control Algorithm to Adjust Settings in Photovoltaic Inverters for Electric Grid Cybersecurity (DERAC)
git clone git+ssh://USERNAME@github.com/lbnl-cybersecurity/smart-inverter-adaptive-control.git
cd smart-inverter-adaptive-control
python3 -n venv pycigar
source pycigar/bin/activate
pip3 install -r requirements.txt
python3 setup.py develop
git clone git+ssh://USERNAME@github.com/lbnl-cybersecurity/smart-inverter-adaptive-control.git
cd smart-inverter-adaptive-control
conda env create -f environment.yml
conda activate pycigar
python setup.py develop
USERNAME must be set to a github username that has access to this private repo.
You can run the install and test via the Dockerfile if you prefer.
Once the above modules have been successfully installed, we can test the installation by running a few examples. Before trying to run any examples, be
sure to activate the pycigar environment by typing:
- If you are using conda: conda activate pycigar
- If you are using pip virtual env: source pycigar/bin/activate
Please see in experiments folder.
Adaptive Control Algorithm to Adjust Settings in Photovoltaic Inverters for Electric Grid Cybersecurity (DERAC) Copyright (c) 2021, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy). and Arizona State University. All rights reserved.
If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Intellectual Property Office at IPO@lbl.gov.
NOTICE. This Software was developed under funding from the U.S. Department of Energy and the U.S. Government consequently retains certain rights. As such, the U.S. Government has been granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the Software to reproduce, distribute copies to the public, prepare derivative works, and perform publicly and display publicly, and to permit others to do so.