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Computer Science - Research and Development

, Volume 33, Issue 1–2, pp 253–255 | Cite as

Poster Abstract: Implementation of an extended generator subsystem in OpenModelica and comparative analysis with DIgSILENT PowerFactory

  • Michael Kyesswa
  • Hüseyin K. Çakmak
  • Uwe Kühnapfel
  • Veit Hagenmeyer
Special Issue Paper
  • 171 Downloads

Abstract

Mathematical modeling is a key step in the analysis of power system stability. In view of model accuracy, this process should include all relevant details that affect the transient behavior of the power system. To this aim, an extension of the generator subsystem model is introduced in OpenModelica by adding a new turbine-governor model. Taking advantage of the multi-domain modeling property of OpenModelica, two libraries are coupled to interconnect the mechanical and electrical domains of the generator subsystem. The new generator subsystem is tested using the standard IEEE 9-Bus test feeder and the simulation results in OpenModelica are furthermore compared to respective results in DIgSILENT PowerFactory. The new generator subsystem model is integrated into the validated 20 kV power grid model of KIT-Campus North and respective results are presented for abrupt load changes.

Keywords

Generator subsystem Modeling and simulation OpenModelica Power system dynamics 

Notes

Acknowledgements

This work is part of the Energy System 2050 initiative of the Helmholtz Association [5].

References

  1. 1.
    DIgSILENT GmbH (2016) DIgSILENT PowerFactory User manual Version 2016. Gomaringen, GermanyGoogle Scholar
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    Milano F, Vanfretti L (2009) State of the art and future of OSS for power. Power and Energy Society General Meeting, Calgary, AB, CanadaGoogle Scholar
  3. 3.
    Fritzson P (2015) Principles of object-oriented modeling and simulation with Modelica 3.3: a cyber-physical approach. Wiley-IEEE Press, New YorkGoogle Scholar
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    Hagenmeyer V et al (2016) Information and communication technology in energy lab 2.0: smart energies system simulation and control center with an open-street-map-based power flow simulation example. Energy Technol. 4(1):145–162CrossRefGoogle Scholar
  5. 5.

Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Michael Kyesswa
    • 1
  • Hüseyin K. Çakmak
    • 1
  • Uwe Kühnapfel
    • 1
  • Veit Hagenmeyer
    • 1
  1. 1.Institute for Applied Computer Science (IAI)Karlsruhe Institute of Technology (KIT)KarlsruheGermany

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