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A House Appliances-Level Co-simulation Framework for Smart Grid Applications

Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)

Abstract

As the penetration of intelligent and ICT-enabled household devices grows, the need for better understanding of their benefits and threats rises. On the one hand, these devices enable new smart grid applications, such as demand response, which have the potential to improve the usage of energy supply and eventually lead to minimizing the electricity costs. On the other hand, the fine-grained consumption readings can be exploited to reveal private information about the household such as the type of devices and inhabitants behavior. In this paper, we present a co-simulation framework that captures two important worlds of the smart grid, namely the communication world and power world. Real data as well as simulation models are used to simulate several home appliances. The power grid simulator OpenDSS is used to implement the home level power grid, and the data communication simulator OMNeT++ is used to control the behavior of the devices as well as to implement the data communication network. Through a case study, we show how it is possible to integrate privacy approaches inside demand response for a better privacy-preserving smart metering.

Keywords

  • Smart Grid Applications
  • Smart Meters (SM)
  • Demand Response (DR)
  • Home Energy Management System (HEMS)
  • General Algebraic Modeling System (GAMS)

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Acknowledgements

Peter Bazan is also a member of “Energie Campus Nürnberg,” Fürther Str. 250, 90429 Nürnberg. His research was performed as part of the “Energie Campus Nürnberg” and supported by funding through the “Aufbruch Bayern (Bavaria on the move)” initiative of the state of Bavaria.

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Correspondence to Abdalkarim Awad .

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Awad, A., Bazan, P., German, R. (2019). A House Appliances-Level Co-simulation Framework for Smart Grid Applications. In: Puliafito, A., Trivedi, K. (eds) Systems Modeling: Methodologies and Tools. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-92378-9_19

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  • DOI: https://doi.org/10.1007/978-3-319-92378-9_19

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