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https://github.com/lanl-ansi/PowerModels.jl
A Julia/JuMP Package for Power Network Optimization
https://github.com/lanl-ansi/PowerModels.jl
network optimal-power-flow optimization power-network
Last synced: 8 days ago
JSON representation
A Julia/JuMP Package for Power Network Optimization
- Host: GitHub
- URL: https://github.com/lanl-ansi/PowerModels.jl
- Owner: lanl-ansi
- License: other
- Created: 2016-08-01T20:30:54.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2024-10-22T21:10:13.000Z (17 days ago)
- Last Synced: 2024-10-29T21:02:41.289Z (10 days ago)
- Topics: network, optimal-power-flow, optimization, power-network
- Language: Julia
- Homepage: https://lanl-ansi.github.io/PowerModels.jl/stable/
- Size: 5.24 MB
- Stars: 394
- Watchers: 24
- Forks: 146
- Open Issues: 91
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
Awesome Lists containing this project
- awesome-power-analysis - PowerModels.jl - PowerModels.jl is a Julia/JuMP package for Steady-State Power Network Optimization. (Modeling & Optimization)
- open-sustainable-technology - PowerModels.jl - Designed to enable computational evaluation of emerging power network formulations and algorithms in a common platform. (Energy Systems / Grid Analysis and Planning)
README
# PowerModels.jl
Status:
[![CI](https://github.com/lanl-ansi/PowerModels.jl/workflows/CI/badge.svg)](https://github.com/lanl-ansi/PowerModels.jl/actions?query=workflow%3ACI)
[![codecov](https://codecov.io/gh/lanl-ansi/PowerModels.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/lanl-ansi/PowerModels.jl)
[![Documentation](https://github.com/lanl-ansi/PowerModels.jl/workflows/Documentation/badge.svg)](https://lanl-ansi.github.io/PowerModels.jl/stable/)PowerModels.jl is a Julia/JuMP package for Steady-State Power Network Optimization.
It is designed to enable computational evaluation of emerging power network formulations and algorithms in a common platform.
The code is engineered to decouple problem specifications (e.g. Power Flow, Optimal Power Flow, ...) from the power network formulations (e.g. AC, DC-approximation, SOC-relaxation, ...).
This enables the definition of a wide variety of power network formulations and their comparison on common problem specifications.**Core Problem Specifications**
* Power Flow (pf)
* Optimal Power Flow (opf)
* Optimal Transmission Switching (ots)
* Transmission Network Expansion Planning (tnep)**Core Network Formulations**
* AC (polar and rectangular coordinates)
* DC Approximation (polar coordinates)
* LPAC Approximation (polar coordinates)
* SDP Relaxation (W-space)
* SOC Relaxation (W-space)
* QC Relaxation (W+L-space)
* IV (rectangular coordinates)**Network Data Formats**
* Matpower ".m" files
* PTI ".raw" files (PSS(R)E v33 specification)## Documentation
The package [documentation](https://lanl-ansi.github.io/PowerModels.jl/stable/) includes a variety of useful information including a [quick-start guide](https://lanl-ansi.github.io/PowerModels.jl/stable/quickguide/), [network model specification](https://lanl-ansi.github.io/PowerModels.jl/stable/network-data/), and [baseline results](https://lanl-ansi.github.io/PowerModels.jl/stable/experiment-results/).
Additionally, these presentations provide a brief introduction to various aspects of PowerModels,
- [Network Model Update, v0.6](https://youtu.be/j7r4onyiNRQ)
- [PSCC 2018](https://youtu.be/AEEzt3IjLaM)
- [JuMP Developers Meetup 2017](https://youtu.be/W4LOKR7B4ts)## Development
Community-driven development and enhancement of PowerModels are welcome and encouraged. Please fork this repository and share your contributions to the master with pull requests. See [CONTRIBUTING.md](https://github.com/lanl-ansi/PowerModels.jl/blob/master/CONTRIBUTING.md) for code contribution guidelines.
## Acknowledgments
This code has been developed as part of the Advanced Network Science Initiative at Los Alamos National Laboratory.
The primary developer is Carleton Coffrin (@ccoffrin) with support from the following contributors,
- Per Aaslid (@peraaslid) SINTEF ER, Branch flow storage model and linear branch flow formulation
- Juan Luis Barbería (@jbarberia) UTN-BA, PSS(R)E v33 data export, Jacobian support for basic network data
- Russell Bent (@rb004f) LANL, Matpower export, TNEP problem specification
- Jose Daniel Lara (@jd-lara) Berkeley, Julia v1.0 compatibility
- Jay Dave (@jay-dave) KU Leuven, LPAC for TNEP and OTS problems
- Hakan Ergun (@hakanergun) KU Leuven, HVDC lines
- David Fobes (@pseudocubic) LANL, PSS(R)E v33 data support
- Rory Finnegan (@rofinn) Invenia, Memento Logging
- Frederik Geth (@frederikgeth) CSIRO, storage modeling advise, Branch Flow and current-voltage formulation
- Rahmat Heidari (@hei06j) CSIRO, improved PSS(R)E data support
- Jonas Kersulis (@kersulis) University of Michigan, Sparse SDP formulation
- Miles Lubin (@mlubin) MIT, Julia/JuMP advise
- Yeesian Ng (@yeesian) MIT, Documenter.jl setup
- Kaarthik Sundar (@kaarthiksundar) LANL, OBBT utility
- Mathieu Tanneau (@mtanneau) Georgia Tech, PTDF matrix computation, performance and memory improvements
- Byron Tasseff (@tasseff) LANL, multi-infrastructure updates## Citing PowerModels
If you find PowerModels useful in your work, we kindly request that you cite the following [publication](https://ieeexplore.ieee.org/document/8442948/):
```
@inproceedings{8442948,
author = {Carleton Coffrin and Russell Bent and Kaarthik Sundar and Yeesian Ng and Miles Lubin},
title = {PowerModels.jl: An Open-Source Framework for Exploring Power Flow Formulations},
booktitle = {2018 Power Systems Computation Conference (PSCC)},
year = {2018},
month = {June},
pages = {1-8},
doi = {10.23919/PSCC.2018.8442948}
}
```
Citation of the original works for problem definitions (e.g. OPF) and [power flow formulations](https://lanl-ansi.github.io/PowerModels.jl/stable/formulation-details/) (e.g. SOC) is also encouraged when publishing works that use PowerModels.## License
This code is provided under a BSD license as part of the Multi-Infrastructure Control and Optimization Toolkit (MICOT) project, C15024.