Skip to main content

HELMpy is an open source package of power flow solvers, including the Holomorphic Embedding Load Flow Method (HELM).

Project description

HELMpy

pipeline status coverage report

HELMpy is an open source package of power flow solvers.

This package contains the Holomorphic Embedding Load flow Method (HELM) and the Newton-Raphson (NR) algorithm. The intention of HELMpy is to support research, especially on the HELM, and to contribute with the development of open source code related to this subject. The developed code is properly commented and organized so it would be easy to understand and modify.

Compatibility

This package is compatible with Python 3.5, 3.6 and 3.7.

History

This package was developed by Tulio Molina and Juan José Ortega as a part of their thesis research to obtain the degree of Electrical Engineer at Universidad de los Andes (ULA) in Mérida, Venezuela.

HELMpy Guide

Please refer to HELMpy user's guide.pdf.

Setting up a virtual environment

Under Linux:

python3.7 -m venv venv

Activating the virtual environment

Under BASH:

source venv/bin/activate

Installing requirements

Anywhere:

python -m pip install -r requirements.txt

Running tests

pytest test

Freezing the requirements

python -m pip freeze --all --exclude-editable > requirements.txt

Commit all upgrades

git commit requirements.txt
git push origin master

License - AGPLv3

HELMpy, open source package of power flow solvers developed on Python 3
Copyright (C) 2019 Tulio Molina tuliojose8@gmail.com and Juan José Ortega juanjoseop10@gmail.com

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see <https://www.gnu.org/licenses/>.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

helmpy-0.1.0rc20190731145314-py3-none-any.whl (77.2 kB view details)

Uploaded Python 3

File details

Details for the file helmpy-0.1.0rc20190731145314-py3-none-any.whl.

File metadata

  • Download URL: helmpy-0.1.0rc20190731145314-py3-none-any.whl
  • Upload date:
  • Size: 77.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.4

File hashes

Hashes for helmpy-0.1.0rc20190731145314-py3-none-any.whl
Algorithm Hash digest
SHA256 47f23236527ec8439a2a4b76a2d5838681dc14cd59e533ab58294073556e26ae
MD5 59670eef8ea585197dfa2491d10b4ea1
BLAKE2b-256 a101fe9cd1545fd93118f660aff01de103330ac40cf98dd5e536534a24b16b6c

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