[Poster Presentation]Methodologies of Feature Extraction for Voltage Sags in Power System

Methodologies of Feature Extraction for Voltage Sags in Power System
ID:164 Submission ID:108 View Protection:ATTENDEE Updated Time:2021-12-03 10:44:05 Hits:458 Poster Presentation

Start Time:2021-12-17 14:50 (Asia/Shanghai)

Duration:5min

Session:[Z] Poster Session » [Z3] Poster Session 3: Power system and automation

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Abstract
This paper presents methodologies of feature extraction for voltage sags in power systems, from several points of view, throughout the recent years. Study some algorithms about extractions and classifiers, and focus on the accuracy and efficiency of the algorithms in this paper. It also summarizes the algorithms whereas it shows the remaining challenges that requires on feature extraction in the further research.
 
Keywords
Voltage sag, Feature extraction, S-Transform, Wavelet transform, Convolution neural networks.
Speaker
HAN LIU
Jilin University

Submission Author
HAN LIU Jilin University
Gang Li Jilin University
Caitang Sun Jilin University
Xinyu Cao Jilin University
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