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A Tabu Search Approach to the Short-Term Operational Planning of Power Systems

In: Operations Research Proceedings 2022

Author

Listed:
  • Ionela Knospe

    (RISC Software GmbH)

  • Roman Stainko

    (RISC Software GmbH)

  • Anna Gattinger

    (RISC Software GmbH)

  • Michael Bögl

    (RISC Software GmbH)

  • Katharina Rafetseder

    (RISC Software GmbH)

  • Dominik Falkner

    (RISC Software GmbH)

Abstract

The accelerating transition towards clean energy is raising the need to consider electric power systems with an increased integration of renewable energy sources, energy storage systems and flexible loads, in addition to the classical programmable generators and electricity demand. Within this setting, we consider the optimal day-ahead operational planning of power systems with a quarter-hourly time resolution and with the objective of minimizing its total operating cost. The electricity demand and photovoltaic production data is provided by forecast models that are based on historical and real-world data sets. For solving this optimization problem we use a hierarchical approach based on tabu search.

Suggested Citation

  • Ionela Knospe & Roman Stainko & Anna Gattinger & Michael Bögl & Katharina Rafetseder & Dominik Falkner, 2023. "A Tabu Search Approach to the Short-Term Operational Planning of Power Systems," Lecture Notes in Operations Research, in: Oliver Grothe & Stefan Nickel & Steffen Rebennack & Oliver Stein (ed.), Operations Research Proceedings 2022, chapter 0, pages 197-204, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-24907-5_24
    DOI: 10.1007/978-3-031-24907-5_24
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