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Hardware Integration and Real-Time Control in an Agent-Based Distribution Grid Simulation

  • Nils Loose
  • Sebastian Törsleff
  • Christian Derksen
  • Rainer Unland
  • Alexander Fay
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10349)

Abstract

In recent years, several developments in the energy sector have been imposing major challenges on our energy supply infrastructure. Due to the liberalization of the energy markets that started in the 1990s, longstanding monopolies are being broken up and new actors enter the stage. An increasing awareness regarding the environmental impacts of fossil fuel-based electricity generation put renewable energy sources like wind and solar on a lasting growth path. The volatility inherent to these sources and the shift from centralized to decentralized generation necessitate new approaches as to how energy is marketed, distributed and consumed. The smart grid, i.e. equipping the energy infrastructure with modern information and communication technology, is widely considered essential in addressing the challenges outlined.

Keywords

Wind Turbine Energy Agent Smart Grid Technical System Distribution Grid 
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.

References

  1. 1.
    Lehnhoff, S.: Dezentrales vernetztes Energiemanagement. Vieweg+Teubner, Wiesbaden (2010)CrossRefGoogle Scholar
  2. 2.
    Linnenberg, T., Wior, I., Schreiber, S., Fay, A.: A market-based multi-agent-system for decentralized power and grid control. In: ETFA2011, pp. 1–8 (2011)Google Scholar
  3. 3.
    Kok, K.: The PowerMatcher: smart coordination for the smart electricity grid. Amsterdam (2013)Google Scholar
  4. 4.
    Derksen, C., Linnenberg, T., Unland, R., Fay, A.: Unified energy agents as a base for the systematic development of future energy grids. In: Klusch, M., Thimm, M., Paprzycki, M. (eds.) MATES 2013. LNCS, vol. 8076, pp. 236–249. Springer, Heidelberg (2013). doi: 10.1007/978-3-642-40776-5_21 CrossRefGoogle Scholar
  5. 5.
    Derksen, C., Linnenberg, T., Unland, R., Fay, A.: Structure and classification of unified energy agents as a base for the systematic development of future energy grids. Eng. Appl. Artif. Intell. 41, 310–324 (2015)CrossRefGoogle Scholar
  6. 6.
    Rao, A.S., Georgeff, M.P., et al.: BDI agents: from theory to practice. In: ICMAS 1995, pp. 312–319 (1995)Google Scholar
  7. 7.
    Loose, N., Derksen, C., Unland, R.: Testbed application of energy agents. In: SmartER Europe 2017 Conference Proceedings (2017, accepted for publication)Google Scholar
  8. 8.
    Derksen, C., Branki, C., Unland, R.: Agent.GUI: a multi-agent based simulation framework. In: 2011 Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 623–630 (2011)Google Scholar
  9. 9.
    German Association of Energy and Water Industries: Smart Grid Traffic Light Concept – Discussion Paper (2015)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Nils Loose
    • 1
  • Sebastian Törsleff
    • 2
  • Christian Derksen
    • 1
  • Rainer Unland
    • 1
  • Alexander Fay
    • 2
  1. 1.DAWIS, ICBUniversity of Duisburg-EssenEssenGermany
  2. 2.IfAHelmut Schmidt UniversityHamburgGermany

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