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

TL;DR

This paper presents a novel eigenvalue analysis method for high-impedance non-linear fault detection using low sampling rate PMUs, demonstrating high sensitivity and broad applicability through simulation validation.

Contribution

It introduces a new eigenvalue-based fault detection technique that leverages existing field technology and operates effectively at low sampling rates.

Findings

High sensitivity in fault detection demonstrated

Effective with low PMU sampling rates

Validated through IEEE 13 Node System simulations

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.