A review of signal processing for fault diagnosis in systems with inverter-based resources and an improved high-frequency component-based disturbance detector
Authors:
- Moisés J.B.B. DaviMDMoisés J.B.B. Davi
- Mário OleskoviczMOMário Oleskovicz
- Felipe V. LopesFLFelipe V. Lopes
- 2 August 2024
- journal article
- review article
- Published by Elsevier in Electric Power Systems Research
- Vol. 236
Abstract
No abstract availableKeywords
This publication has 55 references indexed in Scilit:
- A new fault location scheme based on local measurements for transmission lines connected to inverter-based resourcesElectric Power Systems Research, 2023
- An impedance-multi-method-based fault location methodology for transmission lines connected to inverter-based resourcesInternational Journal of Electrical Power & Energy Systems, 2023
- Assessment of traveling wave-based functions in inverter-based resource interconnecting linesElectric Power Systems Research, 2023
- Exploring the potential of a machine learning-based methodology for fault classification in inverter-based resource interconnection linesElectric Power Systems Research, 2023
- A new fault type classification method in the presence of inverter-based resourcesInternational Journal of Electrical Power & Energy Systems, 2022
- Busbar Capacitance Modeling Effects During Relay Testing Procedures for Transmission Lines Interconnecting Wind Power PlantsJournal of Control, Automation and Electrical Systems, 2021
- A new wavelet based fault detection, classification and location in transmission linesInternational Journal of Electrical Power & Energy Systems, 2015
- A roller bearing fault diagnosis method based on the improved ITD and RRVPMCDMeasurement, 2014
- A correlation based method for discrimination between inrush and short circuit currents in differential protection of power transformer using Discrete Wavelet Transform: Theory, simulation and experimental validationInternational Journal of Electrical Power & Energy Systems, 2013
- Energy and entropy-based feature extraction for locating fault on transmission lines by using neural network and wavelet packet decompositionExpert Systems with Applications, 2008