References

Citing pandapower

A paper describing pandapower has been published in IEEE Transaction on Power Systems, a preprint of the paper is also available on arXiv. Please acknowledge the usage of pandapower by citing this paper:

You can use the following BibTex entry:

@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}}

What users say

I see pandapower as a big upgrade for making pypower much more user friendly, efficient and even providing some great new features that were earlier only provided by the commercial software. Thank you for making our lives easier with pandapower!
Jakov Krstulovic, Postdoctoral Researcher at University of Split, Croatia
I am working on the development of software for power systems research for 7 years, and pandapower is one of the most useful things developed by the community. Brilliant idea, amazing implementation and very easy to use. Congratulations!
Miguel Heleno, Postdoctoral Fellow at Lawrence Berkeley National Laboratory, USA
Firstly, congratulations to the pandapower team for developing such an easy to use the tool. I have introduced pandapower to my final year project students. Many of them start with no background in power system analysis as they take the courses in this subject concurrently. I find that they are able to easily pick up working the with pandapower and carry out projects in renewable energy integration and electric vehicle integration. I too use pandapower to carry out preliminary studies on renewables in the grid. Pandapower has been a very useful tool. I would encourage the pandapower team to add new features such as modal analysis, electricity market engine and if possible RMS dynamics to the package. It will make pandapower the preferred open source tool.
Ashwin M Khambadkone, Associate Professor at National University of Singapore

Publications

About pandapower

The following publications discuss the tool itself and implementation details:

  • L. Thurner, A. Scheidler, F. Schäfer et al, pandapower - an Open Source Python Tool for Convenient Modeling, Analysis and Optimization of Electric Power Systems, IEEE Transactions on Power Systems, 2018.
  • L. Thurner, M. Braun, Vectorized calculation of short circuit currents considering distributed generation - an open source implementation of IEC 60909, ISGT Europe 2018, Sarajevo, Bosnia and Herzegovina, October 2018
  • F. Schäfer, M. Braun, An efficient open-source implementation to compute the Jacobian matrix for the Newton-Raphson power flow algorithm, ISGT Europe 2018, Sarajevo, Bosnia and Herzegovina, October 2018
  • L. Thurner, A. Scheidler, M. Braun, pandapower – an Open Source Framework for Automated Evaluations of Future Power Systems, 1st International Conference on Large-Scale Grid Integration of Renewable Energy in India, New-Delhi, India, September 2017

Using pandapower

Publications using pandapower as a tool for power system calculations:

Further Publications

Other papers mentioning or referencing pandapower that might be of interest: