Instructions

1. Clone the repository
2. Install pandapower and PowerModels.jl (see 'Installation Instructions')
3. Run the optimization, e.g., with python run_greedy.py

This repository contains these subfolders with the following data:

• "power_system_data" containing the power system benchmark cases included additional line and replacement measures
• "scaled_loadcases" contains the data to reproduce the mathematical programming results

Main script to run the hybrid optimization method

The script "run_greedy.py" runs the greedy heuristic combined with the PowerModels.jl optimization framework. An example call starting a combined optimization of switching measures and line measures for the 'brigande' test case is:

python run_greedy.py -grid 'brigande' -kind 'combo' -max_iterations 3 -res_dir './results'

See more options with:

python run_greedy.py -h

If you have trouble using the PowerModels.jl interface, you can just run the script without PowerModels.jl. This gives you a greedy optimization of switching and line measures. Try:

python run_greedy.py -pm ''

Additional script to run the PowerModels.jl Optimization

The repository also contains a script "run_powermodels.py" which runs the PowerModels.jl based results with the pandapower-python to PowerModels.jl-julia interface

The script has several command line options:

• model (str) - The PowerModels.jl power model e.g. "DCPPowerModel"
• solver (str) - The solver to use, e.g. "juniper", "gurobi"
• grid (str) - optional if you only want to calculate one grid, e.g. "brigande"
• kind (str) - the optimizations to run, e.g. "tnep,ots,repl". Can only be a part of these like "tnep,repl"

Example to run the model "DCPPowerModel" with "gurobi" as a solver for the grid "brigande" with the time series loadcases "ts" for the REPl "repl" problem:

python-jl run_powermodels.py --model="DCPPowerModel" --solver="gurobi" --grid="brigande" --kind="repl"

Installation instructions

You need the following software to run the script:

• pandapower: https://github.com/e2nIEE/pandapower
• PowerModels.jl: https://github.com/lanl-ansi/PowerModels.jl/
• tqdm: https://github.com/tqdm/tqdm
• numpy
• pandas

The python-julia interface might require some additional installations. See the following link for details: https://pandapower.readthedocs.io/en/latest/opf/powermodels.html