Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays

Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays

Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays (NRs) are used to detect faults in power system networks and isolate the power to prevent grid instability in t...

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Bibliographic Details
Main Authors: Tarek Kandil, Adam Harris, Remon Das
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Doubly fed induction generators
fault detection
fault classification
low voltage ride through (LVRT)
microgrids (MGs)
wind farms (WF)
Online Access:https://ieeexplore.ieee.org/document/11036746/
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