Title
Faster Detection of Microgrid Islanding Events Using an Adaptive Ensemble Classifier.
Abstract
A novel scheme for fast detection of islanding events in a microgrid is proposed in this paper. The scheme consists of a passive islanding detection process using an adaptive ensemble classifier and measurements of three-phase voltage at the distributed generation (DG) terminals. Initial features inputs to the classifier are obtained using the phase-space method. They are then used to train an ens...
Year
DOI
Venue
2018
10.1109/TSG.2016.2601656
IEEE Transactions on Smart Grid
Keywords
Field
DocType
Feature extraction,Microgrids,Islanding,Stability analysis,Neural networks,Evolutionary computation
Pattern recognition,Extreme learning machine,Evolutionary computation,Feature extraction,Artificial intelligence,Distributed generation,Engineering,Classifier (linguistics),Artificial neural network,Microgrid,Islanding
Journal
Volume
Issue
ISSN
9
3
1949-3053
Citations 
PageRank 
References 
1
0.35
0
Authors
4
Name
Order
Citations
PageRank
Aziah Khamis171.21
Xu Yan28816.70
Rui Zhang31107145.40
Dong4342.96