Fault Detection and Classification in Ring Power System With DG Penetration Using Hybrid CNN-LSTM

Fault Detection and Classification in Ring Power System With DG Penetration Using Hybrid CNN-LSTM

A modern electric power system integrated with advanced technologies such as sensors and smart meters is referred to as a “smart grids”, aimed at enhancing electrical power delivery efficiency and reliability. However, fault location and prediction can become challenging when d...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Ahmed Sami Alhanaf, Murtaza Farsadi, Hasan Huseyin Balik
Format: Artikel
Sprache:English
Veröffentlicht: IEEE 2024-01-01
Schriftenreihe:IEEE Access
Schlagworte:
Deep learning
smart grids
fault detection
fault classification and location
CNN
LSTM
Online Zugang:https://ieeexplore.ieee.org/document/10508728/

Online

https://ieeexplore.ieee.org/document/10508728/

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