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Add 2025 arxiv paper
Signed-off-by: Frédéric Sabot <frederic.sabot@haulogy.net>
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Publications.markdown

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# [Towards Probabilistic Dynamic Security Assessment and Enhancement of Large Power Systems](https://fredericsabot.github.io/publications/pscc2024)
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Work in progress
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Arvix preprint
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# [Probabilistic Dynamic Security Assessment of Power Systems](https://difusion.ulb.ac.be/vufind/Record/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/384301/Holdings)
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PhD thesis
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# [Impact of active distribution networks on power system stability - a case study](https://fredericsabot.github.io/publications/cigre2024)
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publications/arxiv2023/Arxiv2023.markdown

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## Citation
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{% raw %}
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```
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```bibtex
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@misc{sabot2023cosim,
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title={Towards an Efficient Simulation Approach for Transmission Systems with ICT Infrastructures},
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author={Frédéric Sabot and Pierre-Etienne Labeau and Jean-Michel Dricot and Pierre Henneaux},
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primaryClass={eess.SY}
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}
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```
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{% endraw %}
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## Supplementary data
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publications/isgt2023/ISGT2023.markdown

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## Citation
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{% raw %}
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```
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```bibtex
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@INPROCEEDINGS{ISGT2023_ADN,
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author={Sabot, Frédéric and Henneaux, Pierre and Lamprianidou, Ifigeneia S. and Papadopoulos, Panagiotis N.},
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booktitle={2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)},
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doi={10.1109/ISGTEUROPE56780.2023.10408629}
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}
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```
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## Supplementary data
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publications/lambdamu2022/LambdaMu2022.markdown

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## Citation
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{% raw %}
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```
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```bibtex
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@inproceedings{LambdaMu2022,
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author = {Sabot, Frédéric and Henneaux, Pierre and Labeau, Pierre-Etienne and Dricot, Jean-Michel},
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booktitle={23ème congrès de Maîtrise des risques et de Sûreté de Fonctionnement (Lambda Mu 23)},
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url = {https://hal.archives-ouvertes.fr/hal-03876439}
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}
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```
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{% endraw %}
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## Supplementary data
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publications/powertech2021/PowerTech2021.markdown

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## Citation
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{% raw %}
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```
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```bibtex
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@INPROCEEDINGS{MCDETasTool,
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author={Sabot, Frédéric and Henneaux, Pierre and Labeau, Pierre-Etienne},
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booktitle={2021 IEEE Madrid PowerTech},
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doi={10.1109/PowerTech46648.2021.9494758}
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}
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```
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## Supplementary data
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publications/powertech2023/PowerTech2023.markdown

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## Citation
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{% raw %}
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```
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```bibtex
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@INPROCEEDINGS{ISGT2023_Protections,
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author={Sabot, Frédéric and Labeau, Pierre-Etienne and Henneaux, Pierre},
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booktitle={2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)},
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doi={10.1109/ISGTEUROPE56780.2023.10408629}
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}
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```
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publications/pscc2024/PSCC2024.markdown

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## Abstract
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This paper proposes a novel methodology for probabilistic dynamic security assessment and enhancement of power systems that considers load and generation variability, N-2 contingencies, and uncertain cascade propagation caused by uncertain protection system behaviour. In this methodology, a database of likely operating conditions is generated via weather data, a market model and a model of operators' preventive actions. System states are sampled from this database and contingencies are applied to them to perform the security assessment. Rigorous statistical indicators are proposed to decide how many biased and unbiased samples to simulate to reach a target accuracy on the statistical error on the estimated risk from individual contingencies. Optionally, a screening of contingencies can be performed to limit the computational burden of the analysis. Finally, interpretable machine learning techniques are used to identify the root causes of the risk from critical contingencies, to ease the interpretation of the results, and to help with security enhancement. The method is demonstrated on the 73-bus reliability test system, and the scalability to large power systems (with thousands of buses) is also discussed.
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[Download full text here]
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[Download full text here](https://arxiv.org/abs/2505.01147)
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## Citation
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{% raw %}
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```bibtex
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@misc{sabot2025PDSA,
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title={Towards Probabilistic Dynamic Security Assessment and Enhancement of Large Power Systems},
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author={Frédéric Sabot and Pierre-Etienne Labeau and Pierre Henneaux},
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year={2025},
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eprint={2505.01147},
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archivePrefix={arXiv},
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primaryClass={eess.SY},
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url={https://arxiv.org/abs/2505.01147},
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}
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```
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to add
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```
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{% endraw %}
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## Supplementary data
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