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

Ionela Knospe (), Roman Stainko, Anna Gattinger, Michael Bögl, Katharina Rafetseder and Dominik Falkner
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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

Chapter Chapter 24 in Operations Research Proceedings 2022, 2023, pp 197-204 from Springer

Abstract: 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.

Keywords: Metaheuristics; Prescriptive analytics; Optimal power flow (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-24907-5_24

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DOI: 10.1007/978-3-031-24907-5_24

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