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Digital Twins for the Future Power System: An Overview and a Future Perspective

Author

Listed:
  • Zhao Song

    (Laboratory for Mechatronic and Renewable Energy Systems (LMRES), Munich University of Applied Sciences (HM), 80335 Munich, Germany)

  • Christoph M. Hackl

    (Laboratory for Mechatronic and Renewable Energy Systems (LMRES), Munich University of Applied Sciences (HM), 80335 Munich, Germany)

  • Abhinav Anand

    (Wind Energy Institute, Technical University of Munich (TUM), 85748 Garching, Germany)

  • Andre Thommessen

    (Laboratory for Mechatronic and Renewable Energy Systems (LMRES), Munich University of Applied Sciences (HM), 80335 Munich, Germany)

  • Jonas Petzschmann

    (Center for Solar Energy and Hydrogen Research Baden-Württemberg (ZSW), 70563 Stuttgart, Germany)

  • Omar Kamel

    (Wind Energy Institute, Technical University of Munich (TUM), 85748 Garching, Germany
    MesH Engineering GmbH (MesH), 70563 Stuttgart, Germany)

  • Robert Braunbehrens

    (Wind Energy Institute, Technical University of Munich (TUM), 85748 Garching, Germany)

  • Anton Kaifel

    (Center for Solar Energy and Hydrogen Research Baden-Württemberg (ZSW), 70563 Stuttgart, Germany)

  • Christian Roos

    (MesH Engineering GmbH (MesH), 70563 Stuttgart, Germany)

  • Stefan Hauptmann

    (MesH Engineering GmbH (MesH), 70563 Stuttgart, Germany)

Abstract

The inevitable transition of the power system toward a sustainable and renewable-energy centered power system is accompanied by huge versatility and significant challenges. A corresponding shift in operation strategies, embracing more intelligence and digitization, e.g., a Cyber-Physical System (CPS), is needed to achieve an optimal, reliable and secure operation across all system levels (components, units, plants, grids) and by the use of big data. Digital twins (DTs) are a promising approach to realize CPS. In this paper, their applications in power systems are reviewed comprehensively. The review reveals that there exists a gap between available DT definitions and the requirements for DTs utilized in future power systems. Therefore, by adapting the current definitions to these requirements, a generic definition of a “Digital Twin System (DTS)” is introduced which finally allows proposing a multi-level and arbitrarily extendable “System of Digital Twin Systems (SDTSs)” idea. The SDTSs can be realized with an open-source framework that serves as a central data and communication interface between different DTSs which can interact by “Reporting Modules” and are regulated by “Control Modules” (CMs). Exemplary application scenarios involving multiple system levels are discussed to illustrate the capabilities of the proposed SDTS concept.

Suggested Citation

  • Zhao Song & Christoph M. Hackl & Abhinav Anand & Andre Thommessen & Jonas Petzschmann & Omar Kamel & Robert Braunbehrens & Anton Kaifel & Christian Roos & Stefan Hauptmann, 2023. "Digital Twins for the Future Power System: An Overview and a Future Perspective," Sustainability, MDPI, vol. 15(6), pages 1-29, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5259-:d:1098774
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    References listed on IDEAS

    as
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    6. Crespo-Vazquez, Jose L. & Carrillo, C. & Diaz-Dorado, E. & Martinez-Lorenzo, Jose A. & Noor-E-Alam, Md., 2018. "A machine learning based stochastic optimization framework for a wind and storage power plant participating in energy pool market," Applied Energy, Elsevier, vol. 232(C), pages 341-357.
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    1. do Amaral, J.V.S. & dos Santos, C.H. & Montevechi, J.A.B. & de Queiroz, A.R., 2023. "Energy Digital Twin applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).

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