Recursive-ARX for Grid-Edge Fault Detection
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866913911632035840 |
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| author | Yaagoubi, Soufiane El Moffat, Keith Araujo, Eduardo Prieto Dörfler, Florian |
| author_facet | Yaagoubi, Soufiane El Moffat, Keith Araujo, Eduardo Prieto Dörfler, Florian |
| contents | Future electrical grids will require new ways to identify faults as inverters are not capable of supplying large fault currents to support existing fault detection methods and because distributed resources may feed faults from the edge of the grid. This paper proposes the use of real-time system identification for online power-system fault detection. Specifically, we implement Recursive ARX (rARX) system identification on a grid-connected inverter. Experiments demonstrate that the proposed rARX method is able to both detect large faults quickly, and distinguish between high-impedance faults and large load increases. These results indicate that rARX grid-edge fault detection is a promising research direction for improving the reliability and safety of modern electric grids. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_20011 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Recursive-ARX for Grid-Edge Fault Detection Yaagoubi, Soufiane El Moffat, Keith Araujo, Eduardo Prieto Dörfler, Florian Systems and Control Future electrical grids will require new ways to identify faults as inverters are not capable of supplying large fault currents to support existing fault detection methods and because distributed resources may feed faults from the edge of the grid. This paper proposes the use of real-time system identification for online power-system fault detection. Specifically, we implement Recursive ARX (rARX) system identification on a grid-connected inverter. Experiments demonstrate that the proposed rARX method is able to both detect large faults quickly, and distinguish between high-impedance faults and large load increases. These results indicate that rARX grid-edge fault detection is a promising research direction for improving the reliability and safety of modern electric grids. |
| title | Recursive-ARX for Grid-Edge Fault Detection |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2506.20011 |