How to Cite

If you use DPsim in your research, please cite the software paper below. If your work depends on a specific capability, cite the corresponding paper from further publications as well.

Software paper

M. Mirz, S. Vogel, G. Reinke and A. Monti, “DPsim: A dynamic phasor real-time simulator for power systems”, SoftwareX, vol. 10, 100253, 2019. https://doi.org/10.1016/j.softx.2019.100253

@article{mirz2019dpsim,
  title   = {DPsim: A dynamic phasor real-time simulator for power systems},
  author  = {Mirz, Markus and Vogel, Steffen and Reinke, Georg and Monti, Antonello},
  journal = {SoftwareX},
  volume  = {10},
  pages   = {100253},
  year    = {2019},
  issn    = {2352-7110},
  doi     = {10.1016/j.softx.2019.100253},
  url     = {https://www.sciencedirect.com/science/article/pii/S2352711018302760}
}

Citing a specific version

To make a result reproducible, cite the version you ran alongside the paper:

@software{dpsim,
  title  = {DPsim},
  author = {{The DPsim Authors}},
  url    = {https://github.com/sogno-platform/dpsim},
  note   = {Version 1.2.1}
}

The repository also carries a CITATION.cff file, so GitHub offers a ready-made citation through the “Cite this repository” link on the project page.

Further publications

Cite these when your work builds on the specific method they describe.

Shifted frequency analysis and reduced-order machine models:

• J. Dinkelbach, M. Moraga and A. Monti, “Reduced-Order Synchronous Generator Modelling for Real-Time Simulation using Shifted Frequency Analysis”, OSMSES, 2023. https://ieeexplore.ieee.org/document/10089718
• G. Nakti, J. Dinkelbach, M. Mirz and A. Monti, “Comparative Assessment of Shifted Frequency Modeling in Transient Stability Analysis using the Open Source Simulator DPsim”, OSMSES, 2022. https://ieeexplore.ieee.org/document/9769135
• J. Dinkelbach, G. Nakti, M. Mirz and A. Monti, “Simulation of Low Inertia Power Systems Based on Shifted Frequency Analysis”, Energies, vol. 14, no. 7, 1860, 2021. https://www.mdpi.com/1996-1073/14/7/1860

Power electronics modelling and parallelisation:

• M. Mirz, J. Dinkelbach and A. Monti, “DPsim: Advancements in Power Electronics Modelling Using Shifted Frequency Analysis and in Real-Time Simulation Capability by Parallelization”, Energies, vol. 13, no. 15, 3879, 2020. https://www.mdpi.com/1996-1073/13/15/3879

Solver performance:

• J. Dinkelbach, L. Schumacher, L. Razik, A. Benigni and A. Monti, “Factorisation Path Based Refactorisation for High-Performance LU Decomposition in Real-Time Power System Simulation”, Energies, vol. 14, no. 23, 7989, 2021. https://www.mdpi.com/1996-1073/14/23/7989

Grid data and CIM:

• J. Dinkelbach, L. Razik, M. Mirz, A. Benigni and A. Monti, “Template-based generation of programming language specific code for smart grid modelling compliant with CIM and CGMES”, The Journal of Engineering, 2022. https://onlinelibrary.wiley.com/doi/abs/10.1049/tje2.12208

Real-time and co-simulation:

• S. Vogel, M. Mirz, L. Razik and A. Monti, “An Open Solution for Next-generation Real-time Power System Simulation”, IEEE EI2, 2017. https://ieeexplore.ieee.org/document/8245739
• M. Mirz, A. Estebsari, F. Arrigo, E. Bompard and A. Monti, “Dynamic phasors to enable distributed real-time simulation”, ICCEP, 2017. https://ieeexplore.ieee.org/document/8004805