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Optimal control of electricity input given an uncertain demand

Author

Listed:
  • Simone Göttlich

    (University of Mannheim)

  • Ralf Korn

    (TU Kaiserslautern
    Fraunhofer ITWM)

  • Kerstin Lux

    (University of Mannheim)

Abstract

We consider the problem of determining an optimal strategy for electricity injection that faces an uncertain power demand stream. This demand stream is modeled via an Ornstein–Uhlenbeck process with an additional jump component, whereas the power flow is represented by the linear transport equation. We analytically determine the optimal amount of power supply for different levels of available information and compare the results to each other. For numerical purposes, we reformulate the original problem in terms of the cost function such that classical optimization solvers can be directly applied. The computational results are illustrated for different scenarios.

Suggested Citation

  • Simone Göttlich & Ralf Korn & Kerstin Lux, 2019. "Optimal control of electricity input given an uncertain demand," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 90(3), pages 301-328, December.
    • Handle: RePEc:spr:mathme:v:90:y:2019:i:3:d:10.1007_s00186-019-00678-6
    DOI: 10.1007/s00186-019-00678-6
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    References listed on IDEAS

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    Cited by:

    1. Simone Göttlich & Patrick Mehlitz & Thomas Schillinger, 2024. "Inverse demand tracking in transportation networks," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 100(3), pages 635-668, December.

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