Assessing the impact of weather-induced uncertainties in large-scale electricity systems
<|reference_start|>Assessing the impact of weather-induced uncertainties in large-scale electricity systems: The future energy system will largely depend on volatile renewable energy sources and temperature-dependent loads, which makes the weather a central influencing factor. This article presents a novel approach for simulating weather scenarios for robust large-scale power system analysis. By applying different signal analysis methods, historical weather data is decomposed into its spectral components, processed appropriately, and then used to generate random, self-consistent weather data. In this process, any weather parameters of different locations can be considered, while their respective dependencies are mapped. The added value is demonstrated by coupling with a state-of-the-art large-scale energy system model for Europe. It is shown that the integrated consideration of different weather influences allows a quantification of the range of fluctuation of various parameters - such as the feed-in of wind and solar power - and thus provides the basis for future resilient grid planning approaches.<|reference_end|>
@article{peper2024assessing,
    title={Assessing the impact of weather-induced uncertainties in large-scale
  electricity systems},
    author={Jan Peper, David Kr"oger, Jonathan Kipp, Florian Ziel, Christian
  Rehtanz},
    journal={arXiv preprint arXiv:2405.19845},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.19845},
    primaryClass={eess.SY cs.SY}
}