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Model-Based Optimal Feedback Control for Microgrids with Multi-Level Iterations

In: Operations Research Proceedings 2019

Author

Listed:
  • Robert Scholz

    (Heidelberg University)

  • Armin Nurkanovic

    (Siemens AG)

  • Amer Mesanovic

    (Siemens AG)

  • Jürgen Gutekunst

    (Siemens AG)

  • Andreas Potschka

    (Heidelberg University)

  • Hans Georg Bock

    (Heidelberg University)

  • Ekaterina Kostina

    (Heidelberg University)

Abstract

Conventional strategies for microgrid control are based on low level controllers in the individual components. They do not reflect the nonlinear behavior of a coupled system, which can lead to instabilities of the whole system. Nonlinear model predictive control (NMPC) can overcome this problem but the standard methods are too slow to guarantee sufficiently fast feedback rates. We apply Multi-Level Iterations to reduce the computational expenses to make NMPC real-time feasible for the efficient feedback control of microgrids.

Suggested Citation

  • Robert Scholz & Armin Nurkanovic & Amer Mesanovic & Jürgen Gutekunst & Andreas Potschka & Hans Georg Bock & Ekaterina Kostina, 2020. "Model-Based Optimal Feedback Control for Microgrids with Multi-Level Iterations," Operations Research Proceedings, in: Janis S. Neufeld & Udo Buscher & Rainer Lasch & Dominik Möst & Jörn Schönberger (ed.), Operations Research Proceedings 2019, pages 73-79, Springer.
    • Handle: RePEc:spr:oprchp:978-3-030-48439-2_9
    DOI: 10.1007/978-3-030-48439-2_9
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