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SGsim: Co-simulation Framework for ICT-Enabled Power Distribution Grids

  • Abdalkarim AwadEmail author
  • Peter Bazan
  • Reinhard German
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9629)

Abstract

Empowering power grids with ICT is fundamental for the future power grid. Simulation plays an essential role for evaluating emerging smart grid applications. The presented co-simulation framework SGsim is based on two main simulators, OMNeT++ and OpenDSS. With newly added components, smart grid applications in the electricity distribution network can now be investigated and evaluated. Conservation Voltage Reduction (CVR) is a mechanism to reduce the power demand which eventually will reduce the energy consumption. In a case study, the co-simulation framework is used to explore the potential energy saving by applying a closed-loop CVR inside a residential power grid.

Keywords

Smart grid Co-simulation Electricity distribution network Communication system Conservation voltage reduction 

References

  1. 1.
    Awad, A., Bazan, P., German, R.: SGsim: a simulation framework for smart grid applications. In: IEEE (ed.) Proceedings of the IEEE International Energy Conference, pp. 730–736 (2014)Google Scholar
  2. 2.
    Diaz-Aguilo, M., Sandraz, J., Macwan, R., de Leon, F., Czarkowski, D., Comack, C., Wang, D.: Field-validated load model for the analysis of CVR in distribution secondary networks: energy conservation. IEEE Trans. Power Deliv. 28(4), 2428–2436 (2013)CrossRefGoogle Scholar
  3. 3.
    EPRI Electrical Power Research Institute: Home page. http://sourceforge.net/projects/electricdss/
  4. 4.
    Pecan street database. http://www.pecanstreet.org
  5. 5.
    Varga, A.: The OMNeT++ discrete event simulation system. In: European Simulation Multiconference (ESM 2001), Prague, Czech Republic, June 2001Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Computer Networks and Communication Systems, Department of Computer ScienceUniversity of ErlangenErlangenGermany

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