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Combinatorial Optimal Power Flow simulation on radial network using several algorithms

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majid-khonji/opf-sim

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maxOPF simulation

Main files:

  • instance.py: contain classes that define an instance and solution. It also contains functions that generate random instances.

  • s_maxOPF_algs.py: Algorithms solving the simplifies problem (denoted by sMaxOPF).

  • OPF_algs.py: Algorithms solving Optimal Power Flow (OPF). Functions here call Gurobi solver.

  • util.py: contain helper functions such as print an instance, tune Gurobi parameters...etc.

  • test.py: quick and dirty test.

  • sim.py: Contain main simulation functions that store results in directory /results

  • sim_plot.py: functions that produce figures from simulations dump files.

Directories:

  • test-feeders/: contain one-line diagrams as well as related papers from the literature
  • results/ pdf: figures and raw simulations data

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Combinatorial Optimal Power Flow simulation on radial network using several algorithms

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