High-Impedance Non-Linear Fault Detection via Eigenvalue Analysis with low PMU Sampling Rates-Reference-Cited by-同舟云学术

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

Published:2023-01-16 Issue: Volume: Page:
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Container-title:2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
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Author:

Paramo Gian¹,Bretas Arturo²,Meyn Sean¹

Affiliation:

1. University of Florida,Electrical and Computer Engineering,Gainesville,FL,USA

2. Pacifc Northwest National Laboratory,Distributed Systems Group,Richland,WA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10066177/10066335/10066424.pdf?arnumber=10066424

Reference26 articles.

1. Enhance High Impedance Fault Detection and Location Accuracy via $\mu$ -PMUs

2. Real-Time Detection of Transients Induced by High-Impedance Faults Based on the Boundary Wavelet Transform

3. Ensemble-Based Algorithm for Synchrophasor Data Anomaly Detection

4. Effective Real-Time Operation and Protection Scheme of Microgrids Using Distributed Dynamic State Estimation

5. Arc fault location: A nonlinear time varying fault model and frequency domain parameter estimation approach

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