Skip to main content

Python/C++ library for distribution power system analysis

Project description

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

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:

  • Symmetric and asymmetric power flow calculation with Newton-Raphson method, iterative current method and linear method
  • Symmetric and asymmetric state estimation with iterative linear method

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.

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 Jagutis, Laurynas and Wang, Chenguang and {Contributors from 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-1.4.88.tar.gz (237.1 kB view details)

Uploaded Source

Built Distributions

power_grid_model-1.4.88-py3-none-win_amd64.whl (361.6 kB view details)

Uploaded Python 3 Windows x86-64

power_grid_model-1.4.88-py3-none-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded Python 3 musllinux: musl 1.2+ x86-64

power_grid_model-1.4.88-py3-none-manylinux_2_24_x86_64.whl (432.6 kB view details)

Uploaded Python 3 manylinux: glibc 2.24+ x86-64

power_grid_model-1.4.88-py3-none-manylinux_2_24_aarch64.whl (412.3 kB view details)

Uploaded Python 3 manylinux: glibc 2.24+ ARM64

power_grid_model-1.4.88-py3-none-macosx_11_0_arm64.whl (374.9 kB view details)

Uploaded Python 3 macOS 11.0+ ARM64

power_grid_model-1.4.88-py3-none-macosx_10_9_x86_64.whl (395.4 kB view details)

Uploaded Python 3 macOS 10.9+ x86-64

File details

Details for the file power-grid-model-1.4.88.tar.gz.

File metadata

  • Download URL: power-grid-model-1.4.88.tar.gz
  • Upload date:
  • Size: 237.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for power-grid-model-1.4.88.tar.gz
Algorithm Hash digest
SHA256 ba7966ef5e9702157fb247b181551278b732b1f2c2df12aca13093f01162d80a
MD5 adcfadec513198c6353214ee5f2d6224
BLAKE2b-256 890e7e13ef325c14038487eb25e843c7f12ce3658e63cdb2e4dbc01317a53aaa

See more details on using hashes here.

File details

Details for the file power_grid_model-1.4.88-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.4.88-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 fa820d8b728d51e59c53971cd05576a6830407adf7772a897b7f321a2fd601c5
MD5 ac5cf9ef76f1253829b4403cd0cc9c08
BLAKE2b-256 e762df5ed64d2dc15c829806d2ad8ec3caba3afe9d68f2e7cbc08a008260c971

See more details on using hashes here.

File details

Details for the file power_grid_model-1.4.88-py3-none-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.4.88-py3-none-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 f538f5ae484b64c928bd4f16d1a8a2fccf27b5f0940afc34b73c1c5e305ed266
MD5 0c66fc0690a9882f82677b84678a70cb
BLAKE2b-256 3cb6345347e864fb17c6d745280ab14bf7f39bae4417569736e14477e4b5ec28

See more details on using hashes here.

File details

Details for the file power_grid_model-1.4.88-py3-none-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.4.88-py3-none-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 3fbea0e9fad218038a30325d709777f8905dfe4ce8de775246537a0e81ae1dd5
MD5 89609284837e2b30c2882f7b8a9c4e74
BLAKE2b-256 58128fcf9054dd20e3bd6cee45f002db4f7cfe06e5058b8d3a13d67c595b3396

See more details on using hashes here.

File details

Details for the file power_grid_model-1.4.88-py3-none-manylinux_2_24_aarch64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.4.88-py3-none-manylinux_2_24_aarch64.whl
Algorithm Hash digest
SHA256 c64bdedd99974c26960260328be9e6814a1623824bb5e87cdc47b4de55a505a1
MD5 ca72b2ea8099d424368b0e27ed51f947
BLAKE2b-256 80536454c918a47ab8187450e177fdf83a7459ee032fcad0ea96a0ec6c008c4e

See more details on using hashes here.

File details

Details for the file power_grid_model-1.4.88-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.4.88-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 4ad1f7a73c1287f8d6c3df23bd4d0ef00fa412a8e87cdee66f742b077f3ee7b1
MD5 c0b7945e5817be4b119ebc4db4cc22a9
BLAKE2b-256 609bbc1c2f2338f7f46630cc10e417ffad12a095313b5b3a25069812e17c838b

See more details on using hashes here.

File details

Details for the file power_grid_model-1.4.88-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.4.88-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a82a40dcb057517d50e457ac70e61587c939eaa0e80b1b0c714a1c96909c4ede
MD5 b547494d70afc1b971a9aed957d1f4fb
BLAKE2b-256 f6ec6e073208cc1fa8a7060e4c403540627a16f9272bc5b436dceadf42ead086

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