Power Quality Disturbance Monitoring and Classification Based on Improved PCA and Convolution Neural Network for Wind-Grid Distribution Systems

Power Quality Disturbance Monitoring and Classification Based on Improved PCA and Convolution Neural Network for Wind-Grid Distribution Systems

The excessive use of power semiconductor devices in a grid utility increases the malfunction of the control system, produces power quality disturbances (PQDs) and reduces the electrical component life. The present work proposes a novel algorithm based on Improved Principal Component Analysis (IPCA)...

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Bibliographic Details
Main Authors:	Yue Shen, Muhammad Abubakar, Hui Liu, Fida Hussain
Format:	Article
Language:	English
Published:	MDPI AG 2019-04-01
Series:	Energies
Subjects:	power quality disturbance convolution neural network improved principal component analysis wind-grid distribution
Online Access:	https://www.mdpi.com/1996-1073/12/7/1280

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