Feb. 26, 2024, 5:42 a.m. | Mauro Caporuscio, Antoine Dupuis, Welf L\"owe

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.14894v1 Announce Type: cross
Abstract: The recent increase in renewable energy penetration at the distribution level introduces a multi-directional power flow that outdated traditional fault location techniques. To this extent, the development of new methods is needed to ensure fast and accurate fault localization and, hence, strengthen power system reliability. This paper proposes a data-driven ground fault location method for the power distribution system. An 11-bus 20 kV power system is modeled in Matlab/Simulink to simulate ground faults. The faults …

abstract arxiv cs.ai cs.lg cs.sy data data-driven development distributed distribution eess.sp eess.sy energy flow localization location power renewable type

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