RELSAD

RELSAD: A Python package for reliability assessment of modern distribution systems - Published in JOSS (2022)

https://github.com/stinefm/relsad

Science Score: 95.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org
  • Committers with academic emails
    2 of 4 committers (50.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

electrical-power-engineering reliability

Scientific Fields

Physics Physical Sciences - 40% confidence
Last synced: 4 months ago · JSON representation

Repository

A Python package for reliability assessment of modern distribution systems.

Basic Info
Statistics
  • Stars: 14
  • Watchers: 1
  • Forks: 3
  • Open Issues: 1
  • Releases: 18
Topics
electrical-power-engineering reliability
Created over 5 years ago · Last pushed about 3 years ago
Metadata Files
Readme Changelog Contributing License

README.rst

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######
RELSAD
######

.. overview_start

`RELSAD` -- RELiability tool for Smart and Active Distribution networks,
is a Python-based reliability assessment tool that aims to function as
a foundation for reliability calculation of modern distribution systems.
The tool allows for Monte Carlo simulation based reliability analysis of modern
distribution networks, and sequential simulation of the network
behavior with user-defined loading and failure evolution to investigate the impact
of the introduction of for instance ICT components.


The package supports user-selected time steps over a user-defined time period.
In the tool, active components such as microgrids, distributed generation,
batteries, and electrical vehicles are implemented.
To evaluate smart power systems, ICT (Information and Communication Technology)
components such as automated switches, sensors, and control systems
for the power grid are also implemented.
In addition to component implementation, in order to evaluate the reliability
of such complex systems, the complexity, dependencies within a system,
and interdependencies between systems and components are accounted for.
For now, only radial systems are supported.

The tool can be used in modern distribution network development to evaluate
the influence of active components on the network reliability. Relevant use cases
include investigating how:

1. The introduction of microgrids with active generation
   affects the customers in the distribution network and vice versa
2. Vehicle\-to\-grid strategies might mitigate load peaks and
   improve the distribution network reliability
3. The reliability of the ICT network impacts the
   distribution network reliability

.. overview_end

============
Installation
============

See https://relsad.readthedocs.io/en/latest/installation.html.

========
Features
========

- Monte Carlo simulation based reliability analysis of modern distribution networks
- Sequential simulation of the network behavoir with user-defined loading and failure evolution

============
Dependencies
============

The package dependencies can be found in `pyproject.toml`.

=====
Usage
=====

Examples using well known test networks are included and presented in
https://relsad.readthedocs.io/en/latest/usage/main.html.

=============
Documentation
=============

The official documentation is hosted on Read the Docs: https://relsad.readthedocs.io/en/latest/

============
Contributors
============

We welcome and recognize all contributions. You can see a list of current contributors in the contributors tab.


====
Help
====

If you have questions, feel free to contact the author.


.. |contributors badge| image:: https://img.shields.io/github/contributors/stinefm/relsad
   :target: https://github.com/stinefm/relsad/graphs/contributors

.. |language badge| image:: https://img.shields.io/github/languages/top/stinefm/relsad
   :target: https://www.python.org/

.. |code coverage badge| image:: https://img.shields.io/codecov/c/github/stinefm/relsad
   :target: https://app.codecov.io/github/stinefm/relsad

.. |python version badge| image:: https://img.shields.io/pypi/pyversions/relsad

.. |relsad version badge| image:: https://img.shields.io/pypi/v/relsad
   :target: https://pypi.org/project/relsad/

.. |build badge| image:: https://img.shields.io/github/workflow/status/stinefm/relsad/ci-cd
   :target: https://github.com/stinefm/relsad/actions

.. |docs badge| image:: https://readthedocs.org/projects/relsad/badge/?version=latest
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.. |license badge| image:: https://img.shields.io/github/license/stinefm/relsad
   :target: https://github.com/stinefm/relsad/blob/main/LICENSE

.. |joss badge| image:: https://joss.theoj.org/papers/89b8a25755bb2641370bf83b70666e0a/status.svg
   :target: https://joss.theoj.org/papers/89b8a25755bb2641370bf83b70666e0a

JOSS Publication

RELSAD: A Python package for reliability assessment of modern distribution systems
Published
October 14, 2022
Volume 7, Issue 78, Page 4516
Authors
Stine Fleischer Myhre ORCID
Department of Electric Power Engineering, NTNU, Trondheim, Norway
Olav Bjarte Fosso ORCID
Department of Electric Power Engineering, NTNU, Trondheim, Norway
Poul Einar Heegaard ORCID
Department of Information Security and Communication Technology, NTNU, Trondheim, Norway
Oddbjørn Gjerde ORCID
SINTEF Energy Research, Trondheim, Norway
Editor
Frauke Wiese ORCID
Tags
Electrical engineering Monte Carlo Reliability Smart grid

GitHub Events

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All Time
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  • Avg Commits per committer: 123.75
  • Development Distribution Score (DDS): 0.6
Past Year
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Top Committers
Name Email Commits
stine s****e@n****o 198
stinefm s****e@g****m 196
Jonas Rudshaug j****g@n****o 97
semantic-release s****e 4
Committer Domains (Top 20 + Academic)
ntnu.no: 2

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Last synced: 4 months ago

All Time
  • Total issues: 6
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  • Average time to close issues: 9 days
  • Average time to close pull requests: N/A
  • Total issue authors: 1
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  • Average comments per issue: 0.67
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  • Bot pull requests: 0
Past Year
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Top Authors
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Packages

  • Total packages: 1
  • Total downloads:
    • pypi 28 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 18
  • Total maintainers: 1
pypi.org: relsad

A package that facilitates reliability investigations of power systems

  • Versions: 18
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 28 Last month
Rankings
Dependent packages count: 6.6%
Forks count: 23.2%
Stargazers count: 23.3%
Average: 23.4%
Dependent repos count: 30.6%
Downloads: 33.1%
Maintainers (1)
Last synced: 4 months ago

Dependencies

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.github/workflows/draft-pdf.yml actions
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docs/requirements.txt pypi
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  • sphinx-copybutton ==0.5.0
  • sphinxcontrib-bibtex ==2.4.2
poetry.lock pypi
  • 104 dependencies
pyproject.toml pypi
  • Sphinx >=3.5.2,<5 develop
  • black ^20.8b1 develop
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  • pre-commit ^2.12.0 develop
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  • sphinxcontrib-napoleon ^0.7 develop
  • matplotlib ^3.5.1
  • pandas ^1.4.1
  • python >=3.8,<3.11
  • scipy ^1.8.0