Title | ||
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Faster Detection of Microgrid Islanding Events Using an Adaptive Ensemble Classifier. |
Abstract | ||
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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 |
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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 Khamis | 1 | 7 | 1.21 |
Xu Yan | 2 | 88 | 16.70 |
Rui Zhang | 3 | 1107 | 145.40 |
Dong | 4 | 34 | 2.96 |