Skip to main content

Python/C++ library for distribution power system analysis

Project description

PyPI version Anaconda-Server Badge License: MPL2.0 Build and Test C++ and Python Check Code Quality Clang Tidy REUSE Compliance Check docs Downloads Downloads

Quality Gate Status Coverage Maintainability Rating Reliability Rating Security Rating Vulnerabilities

DOI

Power Grid Model

power-grid-model is a library for steady-state distribution power system analysis distributed for Python and C. The core of the library is written in C++. Currently, it supports the following calculations:

  • Power Flow
  • State Estimation
  • Short Circuit

See the power-grid-model documentation for more information. For various conversions to the power-grid-model, refer to the power-grid-model-io repository.

Want to be updated on the latest news and releases? Subscribe to the Power Grid Model mailing list by sending an (empty) email to: powergridmodel+subscribe@lists.lfenergy.org

Installation

Install from PyPI

You can directly install the package from PyPI.

pip install power-grid-model

Install from Conda

If you are using conda, you can directly install the package from conda-forge channel.

conda install -c conda-forge power-grid-model

Build and install from Source

To install the library from source, refer to the Build Guide.

Examples

Please refer to Examples for more detailed examples for power flow and state estimation. Notebooks for validating the input data and exporting input/output data are also included.

License

This project is licensed under the Mozilla Public License, version 2.0 - see LICENSE for details.

Licenses third-party libraries

This project includes third-party libraries, which are licensed under their own respective Open-Source licenses. SPDX-License-Identifier headers are used to show which license is applicable. The concerning license files can be found in the LICENSES directory.

Contributing

Please read CODE_OF_CONDUCT, CONTRIBUTING, PROJECT GOVERNANCE and RELEASE for details on the process for submitting pull requests to us.

Visit Contribute for a list of good first issues in this repo.

Citations

If you are using Power Grid Model in your research work, please consider citing our library using the following references.

DOI

@software{Xiang_PowerGridModel_power-grid-model,
  author = {Xiang, Yu and Salemink, Peter and Bharambe, Nitish and Govers, Martinus and van den Bogaard, Jonas and Stoeller, Bram and Wang, Zhen and Guo, Jerry and Jagutis, Laurynas and Wang, Chenguang and van Raalte, Marc and {Contributors to the LF Energy project Power Grid Model}},
  doi = {10.5281/zenodo.8054429},
  license = {MPL-2.0},
  title = {{PowerGridModel/power-grid-model}},
  url = {https://github.com/PowerGridModel/power-grid-model}
}
@inproceedings{Xiang2023,
  author = {Xiang, Yu and Salemink, Peter and Stoeller, Bram and Bharambe, Nitish and van Westering, Werner},
  booktitle = {CIRED 2023 - The 27th International Conference and Exhibition on Electricity Distribution},
  title = {Power grid model: A high-performance distribution grid calculation library},
  year = {2023},
  volume={2023},
  number = {},
  pages={1-5}
}

Contact

Please read SUPPORT for how to connect and get into contact with the Power Gird Model project.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

power_grid_model-1.9.41.tar.gz (836.9 kB view details)

Uploaded Source

Built Distributions

power_grid_model-1.9.41-py3-none-win_amd64.whl (603.3 kB view details)

Uploaded Python 3 Windows x86-64

power_grid_model-1.9.41-py3-none-musllinux_1_2_x86_64.whl (1.9 MB view details)

Uploaded Python 3 musllinux: musl 1.2+ x86-64

power_grid_model-1.9.41-py3-none-manylinux_2_24_x86_64.whl (929.6 kB view details)

Uploaded Python 3 manylinux: glibc 2.24+ x86-64

power_grid_model-1.9.41-py3-none-manylinux_2_24_aarch64.whl (855.3 kB view details)

Uploaded Python 3 manylinux: glibc 2.24+ ARM64

power_grid_model-1.9.41-py3-none-macosx_11_0_arm64.whl (680.2 kB view details)

Uploaded Python 3 macOS 11.0+ ARM64

power_grid_model-1.9.41-py3-none-macosx_10_9_x86_64.whl (741.7 kB view details)

Uploaded Python 3 macOS 10.9+ x86-64

File details

Details for the file power_grid_model-1.9.41.tar.gz.

File metadata

  • Download URL: power_grid_model-1.9.41.tar.gz
  • Upload date:
  • Size: 836.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for power_grid_model-1.9.41.tar.gz
Algorithm Hash digest
SHA256 9c0e11d563908a114a9ebf9f8e79675dc76373b55f7bdfa74c89a65899bb540b
MD5 4f7f75fa525711ab37b555687fc3ca1f
BLAKE2b-256 bc5cf41d6fc2983471965f23ae9aa1487cc1f9c2cdf97826eccdbffc091ecab1

See more details on using hashes here.

File details

Details for the file power_grid_model-1.9.41-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.9.41-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 dbe4686168129c7807900e840551b724024009c35e682aa2e011d53b8cd67392
MD5 39ac07867343bbb1dff59e565a121caa
BLAKE2b-256 b5975ea1181a9656a83c423ed8a5a3f7f45b857bc67a47785a9e3fb05b71d5de

See more details on using hashes here.

File details

Details for the file power_grid_model-1.9.41-py3-none-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.9.41-py3-none-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 2a0298160ba74b6ab091d8ac295dbcba34eecae357260bbb393d39f0a9d39e54
MD5 bcd4a95116a9afe44afec6472293505a
BLAKE2b-256 11350e4a5b1194ee5771c7f0cbc8913c056910df6f3eacdb6fd8750bc776dabe

See more details on using hashes here.

File details

Details for the file power_grid_model-1.9.41-py3-none-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.9.41-py3-none-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 38f4e2a9c5e97a60bf07201116310c3e359ff497c3d6937bcf51d460ddf7f833
MD5 f126e1d9a13d34849b7f647633053697
BLAKE2b-256 8729136d0a300dcde9a892f44e9b2516c1aa9add44b0035bd862d3323ef311ea

See more details on using hashes here.

File details

Details for the file power_grid_model-1.9.41-py3-none-manylinux_2_24_aarch64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.9.41-py3-none-manylinux_2_24_aarch64.whl
Algorithm Hash digest
SHA256 fcfda2ec93a16946343674fef9e51dad477c4505b9de271c8d8e8707e80c4fe5
MD5 b75284ad16ab23b6439485bb2b4c3098
BLAKE2b-256 7dd38a9fce153bcb954a341e68345c337ef4d6328db1a1c1b5c9a58080583ff5

See more details on using hashes here.

File details

Details for the file power_grid_model-1.9.41-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.9.41-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f251e8bad54550899a38373557fe8e8ceb061cbd016516c1f7661e8fca3ebe30
MD5 802311aa4591a275ac1abc2e610de7fa
BLAKE2b-256 fe3d7d7e6f65077f0f99b8430c80d91704e194a498ec12090c2774b0f4f84b73

See more details on using hashes here.

File details

Details for the file power_grid_model-1.9.41-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.9.41-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 89fc6efa2e839a5df721823e3ea21fe8ec8ded0edaaba6e3e819e9d8035fec3e
MD5 283045db2de5a85bc46348e081727182
BLAKE2b-256 78c5372171e12d1e20624140707c7480b69a28f02154e34d84500727d2fd8c31

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page