The PowerSystems.jl package provides a rigorous data model using Julia structures to enable power systems analysis and modeling. In addition to stand-alone system analysis tools and data model building, the PowerSystems.jl package is used as the foundational data container for the PowerSimulations.jl and PowerSimulationsDynamics.jl packages. PowerSystems.jl supports a limited number of data file formats for parsing.

• PowerSystems will work with Julia v1.6+.

• Generators (Thermal, Renewable and Hydro)
• Transmission (Lines, and Transformers)
• Active Flow control devices (DC Lines and Phase Shifting Transformers)
• TwoTerminal and Multiterminal HVDC
• Topological elements (Buses, Arcs, Areas)
• Storage (Batteries)
• Load (Static, and Curtailable)
• Services (Reserves, Transfers)
• TimeSeries (Deterministic, Scenarios, Probabilistic)
• Dynamic Generators Models
• Dynamic Inverter Models

For information on using the package and a more extensive list of device data enabled, see the stable documentation. Use the in-development documentation for the version of the documentation which contains the unreleased features.

• MATPOWER CaseFormat
• PSS/e - PTI Format v30 and v33(.raw and .dyr files)
• RTS-GMLC table data format

Contributions to the development and enhancement of PowerSystems are welcome. Please see CONTRIBUTING.md for code contribution guidelines.

Paper describing PowerSystems.jl

@article{LARA2021100747,
  title = {PowerSystems.jl — A power system data management package for large scale modeling},
  journal = {SoftwareX},
  volume = {15},
  pages = {100747},
  year = {2021},
  issn = {2352-7110},
  doi = {https://doi.org/10.1016/j.softx.2021.100747},
  url = {https://www.sciencedirect.com/science/article/pii/S2352711021000765},
  author = {José Daniel Lara and Clayton Barrows and Daniel Thom and Dheepak Krishnamurthy and Duncan Callaway},
  keywords = {Power Systems, Julia, Energy}
}

PowerSystems is released under a BSD license. PowerSystems has been developed as part of the Scalable Integrated Infrastructure Planning (SIIP) initiative at the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) Software Record SWR-23-105.