pandapower

An easy to use open source tool for power system modeling, analysis and optimization with a high degree of automation.
https://github.com/e2niee/pandapower

analysis loadflow optimization power powerflow python short-circuit state-estimation system

Last synced: about 22 hours ago
JSON representation

Repository metadata

Convenient Power System Modelling and Analysis based on PYPOWER and pandas

• Host: GitHub
• URL: https://github.com/e2niee/pandapower
• Owner: e2nIEE
• License: other
• Created: 2017-01-12T13:27:53.000Z (over 7 years ago)
• Default Branch: develop
• Last Pushed: 2024-05-08T12:55:06.000Z (3 days ago)
• Last Synced: 2024-05-10T06:04:04.921Z (1 day ago)
• Topics: analysis, loadflow, optimization, power, powerflow, python, short-circuit, state-estimation, system
• Language: Python
• Homepage: https://www.pandapower.org
• Size: 586 MB
• Stars: 772
• Watchers: 48
• Forks: 460
• Open Issues: 198
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGELOG.rst
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE
  • Citation: CITATION.bib
  • Authors: AUTHORS

README

        

.. image:: https://www.pandapower.org/images/pp.svg

   :target: https://www.pandapower.org

   :alt: logo

|

.. image:: https://badge.fury.io/py/pandapower.svg

   :target: https://pypi.python.org/pypi/pandapower

   :alt: PyPI

   

.. image:: https://img.shields.io/pypi/pyversions/pandapower.svg

   :target: https://pypi.python.org/pypi/pandapower

   :alt: versions

.. image:: https://readthedocs.org/projects/pandapower/badge/

   :target: http://pandapower.readthedocs.io/

   :alt: docs

.. image:: https://codecov.io/github/e2nIEE/pandapower/coverage.svg?branch=master

   :target: https://app.codecov.io/github/e2nIEE/pandapower?branch=master

   :alt: codecov

    

.. image:: https://api.codacy.com/project/badge/Grade/e2ce960935fd4f96b4be4dff9a0c76e3

   :target: https://app.codacy.com/gh/e2nIEE/pandapower?branch=master

   :alt: codacy

    

.. image:: https://img.shields.io/badge/License-BSD%203--Clause-blue.svg

   :target: https://github.com/e2nIEE/pandapower/blob/master/LICENSE

   :alt: BSD

.. image:: https://pepy.tech/badge/pandapower

   :target: https://pepy.tech/project/pandapower

   :alt: pepy

.. image:: https://mybinder.org/badge_logo.svg

   :target: https://mybinder.org/v2/gh/e2nIEE/pandapower/master?filepath=tutorials

   :alt: binder

 

  

pandapower is an easy to use network calculation program aimed to automate the analysis and optimization of power

systems. It uses the data analysis library `pandas `_ and is compatible with the commonly

used MATPOWER / PYPOWER case format. pandapower allows using different solvers including an improved Newton-Raphson

power flow implementation, all `PYPOWER `_ solvers, the Newton-Raphson power

flow solvers in the C++ library `lightsim2grid `_, and the

`PowerModels.jl `_ library.

More information about pandapower can be found on `www.pandapower.org `_:

About pandapower:

- `Power System Modeling `_

- `Power System Analysis `_

- `Citing pandapower `_

Getting Started:

- `Installation Notes `_

- `Minimal Example `_

- `Interactive Tutorials `_

- `Documentation `_

If you are interested in the latest pandapower developments, subscribe to our `mailing list `_!

.. image:: https://simbench.de/wp-content/uploads/2019/01/logo.png

   :target: https://www.simbench.net

   :alt: SimBench_logo

To get realistic load profile data and grid models across all voltage levels that are ready to

be used in pandapower, have a look at the *SimBench* `project website `_ or

`on GitHub `_.

.. image:: https://www.pandapipes.org/images/pp.svg

   :target: https://www.pandapipes.org

   :width: 270pt

   :alt: pandapipes_logo

If you want to model pipe networks (heat, gas or water) as well, we recommend

pandapower's sibling project *pandapipes* (`website `_, `GitHub repository `_).

|

pandapower is a joint development of the research group Energy Management and Power System Operation, University of Kassel and the Department for Distribution System

Operation at the Fraunhofer Institute for Energy Economics and Energy System Technology (IEE), Kassel.

.. image:: http://www.pandapower.org/images/contact/Logo_e2n.png

    :target: https://www.uni-kassel.de/eecs/en/sections/energiemanagement-und-betrieb-elektrischer-netze/home

    :width: 500

|

.. image:: http://www.pandapower.org/images/contact/Logo_Fraunhofer_IEE.png

    :target: https://www.iee.fraunhofer.de/en.html

    :width: 500

|

We welcome contributions to pandapower of any kind - if you want to contribute, please check out the `pandapower contribution guidelines `_.

      

Citation (CITATION.bib)

@ARTICLE{pandapower.2018,
    author={L. Thurner and A. Scheidler and F. Sch{\"a}fer and J. Menke and J. Dollichon and F. Meier and S. Meinecke and M. Braun},
    journal={IEEE Transactions on Power Systems},
    title={pandapower — An Open-Source Python Tool for Convenient Modeling, Analysis, and Optimization of Electric Power Systems},
    year={2018},
    month={Nov},
    volume={33},
    number={6},
    pages={6510-6521},
    doi={10.1109/TPWRS.2018.2829021},
    ISSN={0885-8950}}

---

Owner metadata

• Name: e2nIEE
• Login: e2nIEE
• Email: [email protected]
• Kind: organization
• Description: Joint account of the pandapower development team at the University of Kassel, Department e2n and the Fraunhofer IEE
• Website:
• Location: Kassel, Germany
• Twitter:
• Company:
• Icon url: https://avatars.githubusercontent.com/u/40853245?v=4
• Repositories: 7
• Last ynced at: 2023-03-04T22:59:01.178Z
• Profile URL: https://github.com/e2nIEE

---

GitHub Events

Total

• Fork event: 511
• Create event: 149
• Commit comment event: 10
• Release event: 25
• Issues event: 1438
• Watch event: 673
• Delete event: 114
• Member event: 9
• Issue comment event: 3861
• Push event: 1351
• Pull request review comment event: 239
• Pull request event: 2172
• Pull request review event: 594

Last Year

• Create event: 58
• Delete event: 48
• Fork event: 70
• Issue comment event: 409
• Issues event: 156
• Pull request event: 414
• Pull request review comment event: 42
• Pull request review event: 241
• Push event: 262
• Release event: 2
• Watch event: 139

---

Committers metadata

Last synced: 1 day ago

Name	Email	Commits
Leon Thurner	l****r@u****e	878
Roman Bolgaryn	r****n@i****e	768
Steffen Meinecke	s****e@u****e	592
Florian Schaefer	f****r@u****e	387
Zhenqi Wang	z****g@u****e	240
rbolgaryn	r****n@i****e	178
sdrauz	S****z@i****e	172
fmeier	f****r@u****e	139
Jan-Hendrik Menke	j****e@u****e	126
Maryam Majidi	m****i@u****e	120
Zheng Liu	z****u@u****e	113
dlohmeier	d****r@i****e	104
smeinecke	s****e	103
hkoertge	h****e@i****e	94
Jan Wiemer	j****r@i****e	94
Jolando Kisse	j****e@u****e	77
Shankho Ghosh	g****o@g****m	76
Alexander Scheidler	a****r@i****e	66
jko	j****c@g****m	65
mvogt	m****t@i****e	56
Shankho Ghosh	s****h@i****e	54
Schaefer	S****r	53
chefPony	a****z@g****m	50
613j	3****L	49
Jan-Hendrik Menke	m****l@j****e	39
Jannis Kupka	j****a@u****e	34
Laurynas Zavistanavicius	l****s@i****e	33
Friederike Meier	F****r	27
Nitish Bharambe	n****e@a****m	21
ssnigdha	s****a@i****e	21
and 116 more...

Committer domains:

• iee.fraunhofer.de: 19
• uni-kassel.de: 18
• iwes.fraunhofer.de: 8
• gmx.de: 4
• iee-extern.fraunhofer.de: 2
• alliander.com: 2
• student.uni-kassel.de: 2
• retoflow.de: 2
• jhmenke.de: 1
• elektro.dtu.dk: 1
• hotmail.de: 1
• 9code.ch: 1
• ei.uni-hannover.de: 1
• 163.com: 1
• bergkv.ist: 1
• ifht.rwth-aachen.de: 1
• joschkathurner.de: 1
• outlook.de: 1
• kit.edu: 1
• yahoo.co.jp: 1
• koncar.hr: 1
• fb02.intern: 1
• koncar-ket.hr: 1
• energymeteo.de: 1
• fhnw.ch: 1
• x.team: 1
• gridhound.de: 1
• uni-bonn.de: 1
• azuk.top: 1
• invenia.ca: 1

---

Issue and Pull Request metadata

Last synced: 2 days ago

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/e2niee/pandapower

---

---

---

Package metadata

• Total packages: 1
• Total downloads:
  • pypi: 22,265 last-month
• Total docker downloads: 289
• Total dependent packages: 19
• Total dependent repositories: 75
• Total versions: 40
• Total maintainers: 2

---

Dependencies

Score: 21.88890612043946