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)...
Main Authors: | Yue Shen, Muhammad Abubakar, Hui Liu, Fida Hussain |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/12/7/1280 |
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