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

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 islanding ev...

Full description

Saved in:

Bibliographic Details
Published in:	Scientific reports Vol. 15; no. 1; pp. 28726 - 23
Main Authors:	Chauhdary, Sohaib Tahir, Khan, Taha Saeed, Arif, Saad, Ahmad, Ayaz, Shah, Munam Ali, Baili, Jamel
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 06.08.2025 Nature Publishing Group Nature Portfolio
Subjects:	639/166 639/4077 Algorithms Anti-islanding Deep neural network Fourier transforms Humanities and Social Sciences Hybrid microgrid Kalman filtering Methods Microgrid operation multidisciplinary Neural networks Passive methods Science Science (multidisciplinary) Signal processing Simulation Systems stability Voltage Deep neural network Kalman filtering Anti-islanding Passive methods Microgrid operation Hybrid microgrid
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!