Microgrid anti islanding protection scheme based on deep neural network algorithm and unscented Kalman filtering

Microgrid anti islanding protection scheme based on deep neural network algorithm and unscented Kalman filtering

Abstract Microgrid anti-islanding protection (MAIP) is an indispensable challenge in ensuring the safe and reliable operation of microgrids. This research article proposes the unscented Kalman filtering (UKF) and deep neural network algorithm (DNN) as an innovative approach to detect and prevent isl...

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Bibliographic Details
Main Authors: Sohaib Tahir Chauhdary, Taha Saeed Khan, Saad Arif, Ayaz Ahmad, Munam Ali Shah, Jamel Baili
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Anti-islanding
Deep neural network
Microgrid operation
Hybrid microgrid
Passive methods
Kalman filtering
Online Access:https://doi.org/10.1038/s41598-025-10706-7
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https://doi.org/10.1038/s41598-025-10706-7

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