A Case Study on Stochastic Security-Constrained Unit Commitment for Power Systems Models in Baden-Württemberg

John Alasdair Warwicker (), Luc Janecke () and Steffen Rebennack ()
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John Alasdair Warwicker: Karlsruhe Institute of Technology, Institute of Operations Research
Luc Janecke: Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics
Steffen Rebennack: Karlsruhe Institute of Technology, Institute of Operations Research

A chapter in Theory, Algorithms, and Experiments in Applied Optimization, 2025, pp 1-21 from Springer

Abstract: Abstract With the continuous electrification within developed countries, the task of keeping the power grid stable is becoming increasingly challenging with the demand increasingly volatile. Stochastic security-constrained unit commitment (S-SCUC) models can address the challenges posed by renewable energy variability and demand fluctuations by using probabilistic approaches to optimize the commitment and dispatch of generating units. While the goal is very defined, the approaches for modelling and simulation differ widely. In this work, we provide a brief overview of different approaches and solution techniques for the S-SCUC problem. We consider a case study using data from Baden-Württemberg, Germany, where the security constraint is a safety margin and apply Monte Carlo simulation for scenario generation. The results indicate that while the unpredictability is hard to overcome stochastic models can still lead to high accuracy and are thus helpful to grid operators. However, key statistical indicators still require improvement.

Keywords: Unit commitment; Security constraint; Stochastic modelling; Scenario generation; Safety margin (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-031-91357-0_1

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DOI: 10.1007/978-3-031-91357-0_1

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