StochasticPowerModels

StochasticPowerModels.jl is an extension package of PowerModels.jl for Stochastic Power System Optimization.

Note that development is ongoing, and changes can be breaking without notice. We plan to register the package once we feel comfortable with the state of the implementation.

For additional background on the approach, please read our PSCC paper.

• Stochastic Optimal Power Flow (SOPF) for AC and AC/DC grids with RES
• Risk-based SOPF for AC and AC/DC grids with RES
• Stochastic Optimal Transmission Switching (SOTS) for AC and AC/DC grids with RES

• Exact
  • ACR
  • IVR

For now, we only support Polynomial Chaos Expansion. We may add alternative stochastic optimization methods at a later stage.

• Matpower ".m" files, extended to include:
  • stochastic germ: mpc.sdata,
  • stochastic bus data: mpc.bus_sdata, including: dst_id, μ, σ, λvmin and λvmax,
  • stochastic gen data: mpc.gen_sdata, including: λpmin, λpmax, λqmin and λqmax, and
  • stochastic branch data: mpc.branch_sdata, including: λcmax.

For an example, the user is referred to /test/data/matpower/case5_spm.m

The latest stable release of StochasticPowerModels can be installed using the Julia package manager:

] add https://github.com/Electa-Git/StochasticPowerModels.jl.git

To test whether the package works, run:

] test StochasticPowerModels

• Tom Van Acker (@timmyfaraday) (Main Developer) , KU Leuven
  • SOPF for AC grids, IVR formulation
• Kaan Yurtseven (@kaanyurtseven), KU Leuven
  • SOPF for AC/DC grids with RES, IVR formulation
  • Risk-based SOPF for AC/DC grids with RES, IVR formulation
  • SOTS for AC/DC grids with RES, IVR formulation
• Arpan Koirala (@arpkoirala), KU Leuven
  • SOPF for AC Grids, ACR formulation
• Frederik Geth (@frederikgeth), CSIRO
  • SOPF for AC grids, reduced IVR formulation

This code is provided under a BSD license.