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Systems","sub_category":"Grid Analysis and Planning","monthly_downloads":0,"total_dependent_repos":5,"total_dependent_packages":34,"readme":"# PowerModels.jl\n\n\u003cimg src=\"https://lanl-ansi.github.io/PowerModels.jl/dev/assets/logo.svg\" align=\"left\" width=\"200\" alt=\"PowerModels logo\"\u003e\n\nStatus:\n[![CI](https://github.com/lanl-ansi/PowerModels.jl/workflows/CI/badge.svg)](https://github.com/lanl-ansi/PowerModels.jl/actions?query=workflow%3ACI)\n[![codecov](https://codecov.io/gh/lanl-ansi/PowerModels.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/lanl-ansi/PowerModels.jl)\n[![Documentation](https://github.com/lanl-ansi/PowerModels.jl/workflows/Documentation/badge.svg)](https://lanl-ansi.github.io/PowerModels.jl/stable/)\n\u003c/p\u003e\n\nPowerModels.jl is a Julia/JuMP package for Steady-State Power Network Optimization.\nIt is designed to enable computational evaluation of emerging power network formulations and algorithms in a common platform.\nThe 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, ...).\nThis enables the definition of a wide variety of power network formulations and their comparison on common problem specifications.\n\n**Core Problem Specifications**\n* Power Flow (pf)\n* Optimal Power Flow (opf)\n* Optimal Transmission Switching (ots)\n* Transmission Network Expansion Planning (tnep)\n\n**Core Network Formulations**\n* AC (polar and rectangular coordinates)\n* DC Approximation (polar coordinates)\n* LPAC Approximation (polar coordinates)\n* SDP Relaxation (W-space)\n* SOC Relaxation (W-space)\n* QC Relaxation (W+L-space)\n* IV (rectangular coordinates)\n\n**Network Data Formats**\n* Matpower \".m\" files\n* PTI \".raw\" files (PSS(R)E v33 specification)\n\n\n## Documentation\n\nThe 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/).\n\nAdditionally, these presentations provide a brief introduction to various aspects of PowerModels,\n- [Network Model Update, v0.6](https://youtu.be/j7r4onyiNRQ)\n- [PSCC 2018](https://youtu.be/AEEzt3IjLaM)\n- [JuMP Developers Meetup 2017](https://youtu.be/W4LOKR7B4ts)\n\n\n## Development\n\nCommunity-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.\n\n\n## Acknowledgments\n\nThis code has been developed as part of the Advanced Network Science Initiative at Los Alamos National Laboratory.\nThe primary developer is Carleton Coffrin (@ccoffrin) with support from the following contributors,\n- Per Aaslid (@peraaslid) SINTEF ER, Branch flow storage model and linear branch flow formulation\n- Juan Luis Barbería (@jbarberia) UTN-BA, PSS(R)E v33 data export, Jacobian support for basic network data\n- Russell Bent (@rb004f) LANL, Matpower export, TNEP problem specification\n- Jose Daniel Lara (@jd-lara) Berkeley, Julia v1.0 compatibility\n- Jay Dave (@jay-dave) KU Leuven, LPAC for TNEP and OTS problems\n- Hakan Ergun (@hakanergun) KU Leuven, HVDC lines\n- David Fobes (@pseudocubic) LANL, PSS(R)E v33 data support\n- Rory Finnegan (@rofinn) Invenia, Memento Logging\n- Frederik Geth (@frederikgeth) CSIRO, storage modeling advise, Branch Flow and current-voltage formulation\n- Rahmat Heidari (@hei06j) CSIRO, improved PSS(R)E data support\n- Jonas Kersulis (@kersulis) University of Michigan, Sparse SDP formulation\n- Miles Lubin (@mlubin) MIT, Julia/JuMP advise\n- Yeesian Ng (@yeesian) MIT, Documenter.jl setup\n- Kaarthik Sundar (@kaarthiksundar) LANL, OBBT utility\n- Mathieu Tanneau (@mtanneau) Georgia Tech, PTDF matrix computation, performance and memory improvements\n- Byron Tasseff (@tasseff) LANL, multi-infrastructure updates\n\n\n## Citing PowerModels\n\nIf you find PowerModels useful in your work, we kindly request that you cite the following [publication](https://ieeexplore.ieee.org/document/8442948/):\n```\n@inproceedings{8442948,\n  author = {Carleton Coffrin and Russell Bent and Kaarthik Sundar and Yeesian Ng and Miles Lubin},\n  title = {PowerModels.jl: An Open-Source Framework for Exploring Power Flow Formulations},\n  booktitle = {2018 Power Systems Computation Conference (PSCC)},\n  year = {2018},\n  month = {June},\n  pages = {1-8},\n  doi = {10.23919/PSCC.2018.8442948}\n}\n```\nCitation 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.\n\n\n## License\n\nThis code is provided under a BSD license as part of the Multi-Infrastructure Control and Optimization Toolkit (MICOT) project, C15024.\n","funding_links":[],"readme_doi_urls":[],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":["energy-system","gas-flow","gas-network-formulations","power-systems","powersystems","global-optimization","mixed-integer-programming","nonlinear-optimization","power","non-convex-optimization"],"project_url":"https://ost.ecosyste.ms/api/v1/projects/19991","html_url":"https://ost.ecosyste.ms/projects/19991"}