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-1.7.45.tar.gz (762.5 kB view details)

Uploaded Source

Built Distributions

power_grid_model-1.7.45-py3-none-win_amd64.whl (508.5 kB view details)

Uploaded Python 3 Windows x86-64

power_grid_model-1.7.45-py3-none-musllinux_1_2_x86_64.whl (1.7 MB view details)

Uploaded Python 3 musllinux: musl 1.2+ x86-64

power_grid_model-1.7.45-py3-none-manylinux_2_24_x86_64.whl (818.5 kB view details)

Uploaded Python 3 manylinux: glibc 2.24+ x86-64

power_grid_model-1.7.45-py3-none-manylinux_2_24_aarch64.whl (759.5 kB view details)

Uploaded Python 3 manylinux: glibc 2.24+ ARM64

power_grid_model-1.7.45-py3-none-macosx_11_0_arm64.whl (574.4 kB view details)

Uploaded Python 3 macOS 11.0+ ARM64

power_grid_model-1.7.45-py3-none-macosx_10_9_x86_64.whl (619.1 kB view details)

Uploaded Python 3 macOS 10.9+ x86-64

File details

Details for the file power_grid_model-1.7.45.tar.gz.

File metadata

  • Download URL: power_grid_model-1.7.45.tar.gz
  • Upload date:
  • Size: 762.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.14

File hashes

Hashes for power_grid_model-1.7.45.tar.gz
Algorithm Hash digest
SHA256 ad5ed0550bb844e2ce3b3118f02515269fce488231c973cb733ed1f50139c14a
MD5 ca3493d2f27bd64eaac3d171664f4a82
BLAKE2b-256 0bd7f13f765e51be035e5afb0a9a37e311147bf7147572e2563c38d8473fb793

See more details on using hashes here.

File details

Details for the file power_grid_model-1.7.45-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.7.45-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 d8076e405dbb0bff2dd562a6b7893bba35ebb4113c53a5949e1ba74f8854c572
MD5 60c32848edf24adc68a7089454706a45
BLAKE2b-256 d3ee49627abe861fea6558e640ec7bf306115e7a07f1b2f7d2c6a1fb12d9c93d

See more details on using hashes here.

File details

Details for the file power_grid_model-1.7.45-py3-none-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.7.45-py3-none-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 41d2cd9f8e3fd22e287594516b4bab29ae0f8b6a5480374b699d17cc30ba056d
MD5 4387ec920f11661d05bd95b0d1c8ced9
BLAKE2b-256 f66e316121b43884ca38cd2a34e58b424d39eca46d49aaa9294970e09fda6e60

See more details on using hashes here.

File details

Details for the file power_grid_model-1.7.45-py3-none-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.7.45-py3-none-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 53f5477e4d46f8776b237fc87ce60b820d2f4c1aaa8d5eba3a2171f4a9961a0c
MD5 42d5fc6de7483157f92ebd46b52e5c70
BLAKE2b-256 bffba1498e71c9f1f498eccf9b4a548d03bf5ce6bd3b118b16ea42b609af6f68

See more details on using hashes here.

File details

Details for the file power_grid_model-1.7.45-py3-none-manylinux_2_24_aarch64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.7.45-py3-none-manylinux_2_24_aarch64.whl
Algorithm Hash digest
SHA256 8d0d4ee121622b0a82910f9ddf71740e71cbf5c9c4c499d20c5482e6992e314a
MD5 be6b591be646b619a0199ee38384f9d6
BLAKE2b-256 c835061676866ba08509bd25ac374a39fb00db390a8676082fae426c37916c27

See more details on using hashes here.

File details

Details for the file power_grid_model-1.7.45-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.7.45-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 4c5e815638323ab78851b22d7c31c5acd44ca1ddab47fe96789c41851d1fc559
MD5 1c8f2470b6dd4ce69bcc9fbd5b49be25
BLAKE2b-256 370f6ef22c670f734b876f72b9cb75a36eb18fe48c16a2c7a3e8d9cafa3c37e4

See more details on using hashes here.

File details

Details for the file power_grid_model-1.7.45-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.7.45-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 53fa94bf03eaf6e88d4b45cd4d3f21ba5d1f59254a51bf0abd8bc4dac1f92dcb
MD5 1f35d042ecffa95daf9065b2b73f9179
BLAKE2b-256 23c00781e91ed19f0ed246d4432f214b5d2ed0f940614bb0bb07a90c7832736d

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