Advanced in Islanding Detection and Fault Classification for Grid-Connected Distributed Generation using Deep Learning Neural Network

Advanced in Islanding Detection and Fault Classification for Grid-Connected Distributed Generation using Deep Learning Neural Network

Nowadays, the use of renewable energy is increasing, especially distributed power generation (DG) connected to the power grid. There are several problems when DG is connected to the grid. The principal obstacle pertains to the detachment of Distributed Generation (DG) from the grid, a phenomenon wel...

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Bibliographic Details
Main Authors: Rusvaira Qatrunnada, Novizon Novizon, Mardini Hasanah, Tuti Angraini, Anton Anton
Format: Article
Language:English
Published: Khairun University, Faculty of Engineering, Department of Electrical Engineering 2025-01-01
Series:Protek: Jurnal Ilmiah Teknik Elektro
Subjects:
distributed generation, learning vector quantitation, power, entropy, total harmonic distortion.
Online Access:https://ejournal.unkhair.ac.id/index.php/protk/article/view/7573
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