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

Systems and Control 2023-04-05 v1 Systems and Control

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.

Keywords

Cite

@article{arxiv.2301.04123,
  title  = {High-Impedance Non-Linear Fault Detection via Eigenvalue Analysis with low PMU Sampling Rates},
  author = {Gian Paramo and Arturo Bretas and Sean Meyn},
  journal= {arXiv preprint arXiv:2301.04123},
  year   = {2023}
}

Comments

IEEE ISGT 2023

R2 v1 2026-06-28T08:08:46.278Z