Classification of Power Quality Disturbance Based on S-Transform and Convolution Neural Network

Classification of Power Quality Disturbance Based on S-Transform and Convolution Neural Network

The accurate classification of power quality disturbance (PQD) signals is of great significance for the establishment of a real-time monitoring system of modern power grids, ensuring the safe and stable operation of the power system and ensuring the electricity safety of users. Traditional power qua...

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Bibliographic Details
Main Authors: Jinsong Li, Hao Liu, Dengke Wang, Tianshu Bi
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Energy Research
Subjects:
power quality disturbance
s-transform
convolutional neural network
feature extraction
noise immunity
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2021.708131/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2021.708131/full

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