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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2405.19845 |
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| _version_ | 1866916266001825792 |
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| author | Peper, Jan Kröger, David Kipp, Jonathan Ziel, Florian Rehtanz, Christian |
| author_facet | Peper, Jan Kröger, David Kipp, Jonathan Ziel, Florian Rehtanz, Christian |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_19845 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Assessing the impact of weather-induced uncertainties in large-scale electricity systems Peper, Jan Kröger, David Kipp, Jonathan Ziel, Florian Rehtanz, Christian Systems and Control 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. |
| title | Assessing the impact of weather-induced uncertainties in large-scale electricity systems |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2405.19845 |