PSA.jl has been created primarily to take advantage of the speed, readability and features of the optimisation framework JuMP.
PSA.jl does not yet exist independently of PyPSA, in that you have to build your network first in PyPSA and export it in CSV format before PSA.jl can import the network and work with it.
So far the following functionality is implemented in PSA.jl:
- Import from CSV folder
- Export to CSV folder
- Most features of Linear Optimal Power Flow (LOPF), i.e. total electricity/energy system least-cost investment optimisation
What is not yet implemented, but coming soon:
- Normal power flow
- Unit commitment
- LOPF with non-unity snapshot weightings
- Links with more than one output
- Standing losses in storage
- Some time-dependent efficiencies and max/min limits
- Import/Export from/to NetCDF
To install PSA.jl, execute
git clone email@example.com:PyPSA/PSA.jl.git
in the folder
/path/to/lib of your choice.
Then in your Julia script:
push!(LOAD_PATH, "/path/to/lib") import PSA network = PSA.import_network("/your/exported/PyPSA/network/") using Clp solver = ClpSolver() m = PSA.lopf(network, solver) print(m.objVal)
Copyright 2017-2018 Fabian Hofmann (FIAS), Tom Brown (KIT IAI)
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.