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powerscenarios

Realistic data-driven renewable energy scenarios for stochastic grid operation problems

how to install

  • on Summit load conda module
module load python/3.7.0-anaconda3-5.3.0
  • clone and install pywtk, powerscenarios
git clone https://github.com/NREL/pywtk.git
git clone https://github.com/NREL/powerscenarios.git
cd powerscenarios
conda env update -n powerscenarios
source activate powerscenarios
cp patches/fill_tz.py ../pywtk/pywtk/  # needed patch for pywtk if using py3, or change print statements manually
cd ../pywtk/
python setup.py install
cd ../powerscenarios/
pip install -e .

optional packages

conda install -c conda-forge gmaps # for visualization of grids (buses, wind sites, power lines, etc)
pip install cufflinks # for quick scenario plotting

data dir

  • set environment variable PYWTK_CACHE_DIR to where WIND Toolkit data is/should be stored

  • if data is missing it will be dowloaded from AWS as needed

  • e.g. on a local machine add to .bash_profile:

export PYWTK_CACHE_DIR=${HOME}/pywtk-data
  • e.g. on Summit add to .bash_profile:
export PYWTK_CACHE_DIR=${PROJWORK}/csc359/pywtk-data

notebooks/ contains examples to get started

  • notebook generate_scenarios.ipynb generates scenarios for TAMU or RTS grids

scripts/

  • modify config.yaml as needed and run
python generate_scenrios.py config.yml

additional reading

  • Reynolds, AM., I. Satkauskas, J. Mack, D. Sigler, W. Jones. “Scenario creation and power-conditioning strategies for operating power grids with two-stage stochastic economic dispatch.” In Proceedings of the 2020 IEEE Power & Energy Society General Meeting
  • D. Sigler, J. Maack, I. Satkauskas, M. Reynolds and W. Jones, "Scalable Transmission Expansion Under Uncertainty Using Three-stage Stochastic Optimization," 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, 2020, pp. 1-5, doi: 10.1109/ISGT45199.2020.9087776.]