Skip to main content

Python/C++ library for distribution power system analysis

Project description

Power Grid Model logo

PyPI version PyPI Downloads PyPI Downloads per month

Anaconda-Server Badge Anaconda-Server Platforms Anaconda-Server Downloads

License: MPL2.0 OpenSSF Best Practices DOI

CI Build docs Nightly build

Quality Gate Status Coverage Maintainability Rating Reliability Rating Security Rating Vulnerabilities

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. For an extended python interface to the the power-grid-model, refer to the power-grid-model-ds 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 van Westering, Werner and Bharambe, Nitish and Govers, Martinus G.H. and van den Bogaard, Jonas and Stoeller, Bram and Wang, Zhen and Guo, Jerry Jinfeng and Figueroa Manrique, Santiago 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={27th International Conference on Electricity Distribution (CIRED 2023)},
  title={Power grid model: a high-performance distribution grid calculation library},
  year={2023},
  volume={2023},
  number={},
  pages={1089-1093},
  keywords={},
  doi={10.1049/icp.2023.0633}
}

Contact

Please read SUPPORT for how to connect and get into contact with the Power Grid 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-1.13.100.tar.gz (1.5 MB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

power_grid_model-1.13.100-py3-none-win_amd64.whl (882.4 kB view details)

Uploaded Python 3Windows x86-64

power_grid_model-1.13.100-py3-none-musllinux_1_2_x86_64.whl (3.9 MB view details)

Uploaded Python 3musllinux: musl 1.2+ x86-64

power_grid_model-1.13.100-py3-none-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl (3.2 MB view details)

Uploaded Python 3manylinux: glibc 2.26+ x86-64manylinux: glibc 2.28+ x86-64

power_grid_model-1.13.100-py3-none-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (2.9 MB view details)

Uploaded Python 3manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

power_grid_model-1.13.100-py3-none-macosx_13_0_x86_64.whl (2.4 MB view details)

Uploaded Python 3macOS 13.0+ x86-64

power_grid_model-1.13.100-py3-none-macosx_13_0_arm64.whl (2.1 MB view details)

Uploaded Python 3macOS 13.0+ ARM64

File details

Details for the file power_grid_model-1.13.100.tar.gz.

File metadata

  • Download URL: power_grid_model-1.13.100.tar.gz
  • Upload date:
  • Size: 1.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for power_grid_model-1.13.100.tar.gz
Algorithm Hash digest
SHA256 9258015b780b03a667587d81d97468795f10f12a1ec8e6851e88517523062df0
MD5 1c0a4399655ec384448537dffc0b6b1d
BLAKE2b-256 afa056813202339a4cced070152407cb2c68c8d5adeea455b1cf062665f6a541

See more details on using hashes here.

Provenance

The following attestation bundles were made for power_grid_model-1.13.100.tar.gz:

Publisher: ci.yml on PowerGridModel/power-grid-model

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file power_grid_model-1.13.100-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.13.100-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 251218d3e12a60e051b00e01f1f58abb3eb9f0372ae7489e2742fad8399cbae2
MD5 5e997b635de4f9efda687bac51d32e3a
BLAKE2b-256 f2bb1eddad0585dcab37ba2bb5511789355fc559c1fb1d3e1a6845d4aff4b2c0

See more details on using hashes here.

Provenance

The following attestation bundles were made for power_grid_model-1.13.100-py3-none-win_amd64.whl:

Publisher: ci.yml on PowerGridModel/power-grid-model

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file power_grid_model-1.13.100-py3-none-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.13.100-py3-none-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 4ecb60410f508d8c377f5bb396a092db6ded1dd0ecd11593d45560461cfbfa9b
MD5 417af090129ed44da175705361f0917c
BLAKE2b-256 b965127fc20ca8082aaf1b32d016cbbe203cfdf3f8689776a7e06d0157d7da05

See more details on using hashes here.

Provenance

The following attestation bundles were made for power_grid_model-1.13.100-py3-none-musllinux_1_2_x86_64.whl:

Publisher: ci.yml on PowerGridModel/power-grid-model

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file power_grid_model-1.13.100-py3-none-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.13.100-py3-none-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 27bf5f027cf350113660ae1130f2534da3dc07fa06d29468388c7d66bfd1b65c
MD5 fb54b4bf57e49a3a7c911895d58a1644
BLAKE2b-256 fc5675bb8718b47ddb75f8bc9e744115fc1bd95d6cee0221eaed9a86f7d0adc2

See more details on using hashes here.

Provenance

The following attestation bundles were made for power_grid_model-1.13.100-py3-none-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl:

Publisher: ci.yml on PowerGridModel/power-grid-model

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file power_grid_model-1.13.100-py3-none-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.13.100-py3-none-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 49e4897a35b5f3d2033a9469fb93f760ca34b4662bb124c169171e022ba50a31
MD5 47afe89a12e8668029b159ca5e5dd27f
BLAKE2b-256 ec3dec7a3bd37d60df4680d6dc63d3bfc0e60245b66ac6f7e73beb7fecb07c8b

See more details on using hashes here.

Provenance

The following attestation bundles were made for power_grid_model-1.13.100-py3-none-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl:

Publisher: ci.yml on PowerGridModel/power-grid-model

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file power_grid_model-1.13.100-py3-none-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.13.100-py3-none-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 c09262a354b08385ba6d98477fd478b8bb1cd4b514a050272bb7cde57378a207
MD5 df9d4dc400a632b297723fc3a0fdb2dc
BLAKE2b-256 90c2701cf6eb017e31f204040b6b630ec5973521bdaccfeb8170bb48cf227aef

See more details on using hashes here.

Provenance

The following attestation bundles were made for power_grid_model-1.13.100-py3-none-macosx_13_0_x86_64.whl:

Publisher: ci.yml on PowerGridModel/power-grid-model

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file power_grid_model-1.13.100-py3-none-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.13.100-py3-none-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 03e0e5a60ceca08e6e6d6c346470e02376ea14c40c776424d1bfb9f4bfca001e
MD5 e0cb5a2c2528e62a02d71c62108f8dd2
BLAKE2b-256 2675f1ee79d9296b66347a785950b6cb4d4514a2e3ef74d8b5c6b3e71e6864dc

See more details on using hashes here.

Provenance

The following attestation bundles were made for power_grid_model-1.13.100-py3-none-macosx_13_0_arm64.whl:

Publisher: ci.yml on PowerGridModel/power-grid-model

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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