Identification Method for Voltage Sags Based on K-means-Singular Value Decomposition and Least Squares Support Vector Machine

Identification Method for Voltage Sags Based on K-means-Singular Value Decomposition and Least Squares Support Vector Machine

Voltage sag is one of the most serious problems in power quality. The occurrence of voltage sag will lead to a huge loss in the social economy and have a serious effect on people’s daily life. The identification of sag types is the basis for solving the problem and ensuring the safe grid o...

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Bibliographic Details
Main Authors: Haoyuan Sha, Fei Mei, Chenyu Zhang, Yi Pan, Jianyong Zheng
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Energies
Subjects:
voltage sag
RMS
K-SVD
LS-SVM
Online Access:https://www.mdpi.com/1996-1073/12/6/1137

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