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

This version

1.9.5

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-1.9.5.tar.gz (813.5 kB view details)

Uploaded Source

Built Distributions

power_grid_model-1.9.5-py3-none-win_amd64.whl (539.9 kB view details)

Uploaded Python 3 Windows x86-64

power_grid_model-1.9.5-py3-none-musllinux_1_2_x86_64.whl (1.8 MB view details)

Uploaded Python 3 musllinux: musl 1.2+ x86-64

power_grid_model-1.9.5-py3-none-manylinux_2_24_x86_64.whl (830.6 kB view details)

Uploaded Python 3 manylinux: glibc 2.24+ x86-64

power_grid_model-1.9.5-py3-none-manylinux_2_24_aarch64.whl (767.1 kB view details)

Uploaded Python 3 manylinux: glibc 2.24+ ARM64

power_grid_model-1.9.5-py3-none-macosx_11_0_arm64.whl (595.8 kB view details)

Uploaded Python 3 macOS 11.0+ ARM64

power_grid_model-1.9.5-py3-none-macosx_10_9_x86_64.whl (648.3 kB view details)

Uploaded Python 3 macOS 10.9+ x86-64

File details

Details for the file power_grid_model-1.9.5.tar.gz.

File metadata

  • Download URL: power_grid_model-1.9.5.tar.gz
  • Upload date:
  • Size: 813.5 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-1.9.5.tar.gz
Algorithm Hash digest
SHA256 427d664419dd8170bc0f6f59b9b71ab3c0cb78309c1b062e97c1ca286d707d78
MD5 8bbeb98d64a2b8c7df15f3ced6094b64
BLAKE2b-256 bf2185e693517ee8436033bee9bd51f254d36221580e52f51570c02ee95c7217

See more details on using hashes here.

File details

Details for the file power_grid_model-1.9.5-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.9.5-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 3d981b9f8a9f719bd5d370fbe4d4e4da47fa2b3ae2ef3eee6e8ec48d1a19d2bb
MD5 a99bedb451c13a9f4d63abf9eef338f6
BLAKE2b-256 8560e23bdc0efd9beef0bb3ce6f5cfa82ff28f0ba2001e897261807c42f484b7

See more details on using hashes here.

File details

Details for the file power_grid_model-1.9.5-py3-none-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.9.5-py3-none-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 cdd67aca7f257ef7370310bcb98249672f03c65c764d8d08126e957fea647a21
MD5 89288db548bae0cf15177b437ec2e2f3
BLAKE2b-256 bca4b03b6ba49be419baac89ac696c6e1257b948dd141824a3f1aa2e41dc3d57

See more details on using hashes here.

File details

Details for the file power_grid_model-1.9.5-py3-none-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.9.5-py3-none-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 39f8df7c3af85911fc46c77f9453f994e0ca4dcfdd49c9abbcb9a1215ab7e2d9
MD5 aaac9ea8ae670cec088fcd0d69602878
BLAKE2b-256 5c1802f6c22ba6fb118298d11d432e90dce5e1eba042c1e67f9bd8151b9c48ac

See more details on using hashes here.

File details

Details for the file power_grid_model-1.9.5-py3-none-manylinux_2_24_aarch64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.9.5-py3-none-manylinux_2_24_aarch64.whl
Algorithm Hash digest
SHA256 d54310df81d3ac160c9e44723cbe17c088ac5f8d387e50e8d4c00ac4d1c93ae9
MD5 2b6ec38b4340b866929a954b7c085e33
BLAKE2b-256 0e69f4568e6cec06ae7f107ce69e995791d8e9446359a80fcd33b97183555fdb

See more details on using hashes here.

File details

Details for the file power_grid_model-1.9.5-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.9.5-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 45baa5ad70fdb20d56cccd36890029b2ad56bd6eb3452a5a602dd3c02fc3a28f
MD5 37db5056e51f19206dd0458b83a74510
BLAKE2b-256 9fab1feb7439b90b2803e6fe39ba6d7e9ced5f218cd9f9783b3b5ea28e650565

See more details on using hashes here.

File details

Details for the file power_grid_model-1.9.5-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.9.5-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 3c97b951ca62c2fbcab380bec95c3131a6df645f925f49d62328b512f1557f67
MD5 12bd3a70d0aaa02cbe50765ce1b755ea
BLAKE2b-256 d44c41cf55c305da9b441f8dd6a924b3b7164ed78fd1ceea4dd11d103d91c0e5

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