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-1.5.0rc9230001994068.tar.gz (322.3 kB 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-1.5.0rc9230001994068-py3-none-win_amd64.whl (379.8 kB view details)

Uploaded Python 3Windows x86-64

power_grid_model-1.5.0rc9230001994068-py3-none-musllinux_1_2_x86_64.whl (1.4 MB view details)

Uploaded Python 3musllinux: musl 1.2+ x86-64

power_grid_model-1.5.0rc9230001994068-py3-none-manylinux_2_24_x86_64.whl (530.4 kB view details)

Uploaded Python 3manylinux: glibc 2.24+ x86-64

power_grid_model-1.5.0rc9230001994068-py3-none-manylinux_2_24_aarch64.whl (494.4 kB view details)

Uploaded Python 3manylinux: glibc 2.24+ ARM64

power_grid_model-1.5.0rc9230001994068-py3-none-macosx_11_0_arm64.whl (391.6 kB view details)

Uploaded Python 3macOS 11.0+ ARM64

power_grid_model-1.5.0rc9230001994068-py3-none-macosx_10_9_x86_64.whl (412.7 kB view details)

Uploaded Python 3macOS 10.9+ x86-64

File details

Details for the file power-grid-model-1.5.0rc9230001994068.tar.gz.

File metadata

File hashes

Hashes for power-grid-model-1.5.0rc9230001994068.tar.gz
Algorithm Hash digest
SHA256 28d99a25bae03d3ef410776b05146dd5daf38b76b59155b2f7c525191222273d
MD5 13521e9d9472c45ceab5b9e4e5016f76
BLAKE2b-256 d1ff77aff48ea1e6809865b9905bf4d5e2d989e45723508160d0986148b2fc63

See more details on using hashes here.

File details

Details for the file power_grid_model-1.5.0rc9230001994068-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.5.0rc9230001994068-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 a90a526f36eb93609f202bea78c710e89e26d6a0dc0ed83a3fbed5ca56d12e8a
MD5 3e9178b3c3056e84388d852cad0ada35
BLAKE2b-256 922d8731bad24c8727ed7f739808eea03b2b4a721ee3f0e641c399a0cf47107d

See more details on using hashes here.

File details

Details for the file power_grid_model-1.5.0rc9230001994068-py3-none-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.5.0rc9230001994068-py3-none-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 609141bade1d2c0b43bdb0d5b1b9c75179a3c98a7c073d12d5411c047aa7e258
MD5 bb838646c7654543ef83995d20dcd587
BLAKE2b-256 0f4d26d7b629659cd2e18f63611ec829f6afed8690e36dc55d8095a647230cce

See more details on using hashes here.

File details

Details for the file power_grid_model-1.5.0rc9230001994068-py3-none-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.5.0rc9230001994068-py3-none-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 eb3a08383749e84a506f16357a9b4df851308a2f0d4e75ba358fd2d96c22bce0
MD5 0321f7b77254bef3fd84e72f233dc2f1
BLAKE2b-256 a4fd658077175d0b1c186bac9f196753045afdf7aea36e38ecb5d04660bf6430

See more details on using hashes here.

File details

Details for the file power_grid_model-1.5.0rc9230001994068-py3-none-manylinux_2_24_aarch64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.5.0rc9230001994068-py3-none-manylinux_2_24_aarch64.whl
Algorithm Hash digest
SHA256 abed4e39887b3dc35f4921feda97b5162fc17cb2780c089b5f9b2b52f9e9a946
MD5 d03baa11894c18d7b73dcd00ab3a184e
BLAKE2b-256 cbf24c42a58cd4888fd39d6fdad28ba86fad1003e9b52bad6fc246f4c783923e

See more details on using hashes here.

File details

Details for the file power_grid_model-1.5.0rc9230001994068-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.5.0rc9230001994068-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f0cf7e055cfe91d31137d46b65e795dfb42d03b1e858e20b7cf1ff68da73e7c4
MD5 407057c616f9273d2fa61268b20936b8
BLAKE2b-256 4617d372eef550ac553120fc8b031b78146bdff1c689b9c87c77e66cc0012690

See more details on using hashes here.

File details

Details for the file power_grid_model-1.5.0rc9230001994068-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for power_grid_model-1.5.0rc9230001994068-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 fcbcb27ce938e64868d54284c99518a5b705f0a843f76e871d97483b7a23a8e2
MD5 ebfa4c4f7f380e1bc9de5d2f329b740e
BLAKE2b-256 97b6b91a6bf9fc38f3444858ba36e23ae1792a62542159d33d87da32c4560664

See more details on using hashes here.

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