PowerSimulations.jl

A Julia package for power system modeling and simulation of Power Systems operations.
https://github.com/NREL-Sienna/PowerSimulations.jl

Category: Energy Systems
Sub Category: Energy System Modeling Frameworks

Keywords

analysis electricity energy julia optimization powersystems simulations

Keywords from Contributors

energy-system electrical nrel power-systems research-software original-software-publication dynamics ida sciml parallel

Last synced: about 4 hours ago
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Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

README.md

PowerSimulations.jl

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PowerSimulations.jl is a Julia package for power system modeling and simulation of Power Systems operations. The objectives of the package are:

  • Provide a flexible modeling framework that can accommodate problems of different complexity and at different time-scales.

  • Streamline the construction of large scale optimization problems to avoid repetition of work when adding/modifying model details.

  • Exploit Julia's capabilities to improve computational performance of large scale power system quasi-static simulations.

The flexible modeling framework is enabled through a modular set of capabilities that enable scalable power system analysis and exploration of new analysis methods. The modularity of PowerSimulations results from the structure of the simulations enabled by the package:

  • Simulations define a set of problems that can be solved using numerical techniques.

For example, an annual production cost modeling simulation can be created by formulating a unit commitment model against system data to assemble a set of 365 daily time-coupled scheduling problems.

Simulations enabled by PowerSimulations

  • Integrated Resource Planning
  • Production Cost Modeling
  • Market Simulations

Installation

julia> ]
(v1.9) pkg> add PowerSystems
(v1.9) pkg> add PowerSimulations

Usage

PowerSimulations.jl uses PowerSystems.jl to handle the data used in the simulations.

using PowerSimulations
using PowerSystems

For information on using the package, see the stable documentation. Use the in-development documentation for the version of the documentation which contains the unreleased features.

Development

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

License

PowerSimulations is released under a BSD license. PowerSimulations 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-23-104.


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Jose Daniel Lara j****a@b****u 6057
sourabhdalvi s****i@g****m 625
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rodrigomha r****a@g****m 387
Daniel Thom d****m@n****v 331
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Dheepak Krishnamurthy k****9@g****m 76
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Pietro Monticone 3****e 15
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Total issues: 239
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Average time to close issues: 3 months
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Total issue authors: 33
Total pull request authors: 25
Average comments per issue: 1.08
Average comments per pull request: 1.59
Merged pull request: 231
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Past year issues: 134
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Past year average time to close issues: 29 days
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Past year issue authors: 23
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Package metadata

proxy.golang.org: github.com/NREL-Sienna/PowerSimulations.jl

proxy.golang.org: github.com/nrel-sienna/powersimulations.jl

juliahub.com: PowerSimulations

Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

  • Homepage: https://nrel-sienna.github.io/Sienna
  • Documentation: https://docs.juliahub.com/General/PowerSimulations/stable/
  • Licenses: BSD-3-Clause
  • Latest release: 0.30.2 (published about 1 month ago)
  • Last Synced: 2025-07-01T23:08:03.469Z (1 day ago)
  • Versions: 123
  • Dependent Packages: 7
  • Dependent Repositories: 0
  • Downloads: 113 Total
  • Rankings:
    • Forks count: 3.277%
    • Stargazers count: 3.693%
    • Average: 6.978%
    • Dependent repos count: 9.94%
    • Dependent packages count: 11.003%

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Score: 14.405960340285876