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arXiv · 2301.04123

High-Impedance Non-Linear Fault Detection via Eigenvalue Analysis with low PMU Sampling Rates

Gian Paramo·Arturo Bretas·Sean Meyn
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Abstract

This technique holds several advantages over contemporary techniques: It utilizes technology that is already deployed in the field, it offers a significant degree of generality, and so far it has displayed a very high-level of sensitivity without sacrificing accuracy. Validation is performed in the form of simulations based in the IEEE 13 Node System and non-linear fault models. Test results are encouraging, indicating potential for real-life applications.

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Gian Paramo, Arturo Bretas, Sean Meyn. 2023-01-10. High-Impedance Non-Linear Fault Detection via Eigenvalue Analysis with low PMU Sampling Rates. https://doi.org/10.1109/isgt51731.2023.10066424

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