Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"

Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"

Citation Author(s):
Florian
Schäfer
University of Kassel
Submitted by:
Florian Schaefer
Last updated:
Tue, 02/18/2020 - 11:09
DOI:
10.21227/fqs9-nq06
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A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems

Grid Planning Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"

Instructions: 

 

Data

This repository contains a subfolder with the following data:

  • "scaled_loadcases" which contains the data for Chapter VI "Optimization Results"

 

Script

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:

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

Dataset Files

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[1] Florian Schäfer, "Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/fqs9-nq06. Accessed: Feb. 19, 2020.
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doi = {10.21227/fqs9-nq06},
url = {http://dx.doi.org/10.21227/fqs9-nq06},
author = {Florian Schäfer },
publisher = {IEEE Dataport},
title = {Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"},
year = {2020} }
TY - DATA
T1 - Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"
AU - Florian Schäfer
PY - 2020
PB - IEEE Dataport
UR - 10.21227/fqs9-nq06
ER -
Florian Schäfer. (2020). Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems". IEEE Dataport. http://dx.doi.org/10.21227/fqs9-nq06
Florian Schäfer, 2020. Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems". Available at: http://dx.doi.org/10.21227/fqs9-nq06.
Florian Schäfer. (2020). "Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"." Web.
1. Florian Schäfer. Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems" [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/fqs9-nq06
Florian Schäfer. "Benchmark Dataset for the Paper "A Hybrid Optimization Strategy of Meta-Heuristic and Mathematical Programming Methods for Meshed Power Systems"." doi: 10.21227/fqs9-nq06