Regulated Two-Dimensional Deep Convolutional Neural Network-Based Power Quality Classifier for Microgrid

Due to the penetration of renewable energy and load variation in the microgrid, the diagnosis of power quality disturbances (PQD) is important to the operation stability and safety of the microgrid system. Once the power imbalance is present between the generation and the load demand, the fundamenta...

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Bibliographic Details
Main Authors:	Berutu, S.S (Author), Chen, C.-H (Author), Chen, C.-I (Author), Chen, Y.-C (Author), Yang, H.-C (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	Convolution Convolutional neural networks Deep neural networks Disturbances classification Fundamental frequencies IEEE Standards IEEE Std 1159 IEEE Std. 1159 microgrid Microgrid Microgrids Natural frequencies Network-based Power quality power quality classifier Power quality classifier power quality disturbances Power quality disturbances regulated two-dimensional deep convolutional neural network Regulated two-dimensional deep convolutional neural network signal synchronization Signal synchronization Two-dimensional
Online Access:	View Fulltext in Publisher

by Berutu, S.S, Chen, C.-H, Chen, C.-I, Chen, Y.-C, Yang, H.-C
Published 2022

View Fulltext in Publisher

Article

Regulated Two-Dimensional Deep Convolutional Neural Network-Based Power Quality Classifier for Microgrid

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