Internal Over-Voltage Identification Method of Distribution Network Based on AD-SVM Algorithm - Details

author：

Liao, Yufei (Liao, Yufei.) ^[1] | Yang, Gengjie (Yang, Gengjie.) ^[2] (Scholars：杨耿杰) | Gao, Wei (Gao, Wei.) ^[3] (Scholars：高伟) | Guo, Moufa (Guo, Moufa.) ^[4] (Scholars：郭谋发)

Indexed by：

EI Scopus

Abstract：

An　internal　over-voltage　identification　method　based　on　atomic　decomposition(AD)　and　Support　Vector　Machine(SVM)　is　proposed.　Firstly,　the　three-phase　voltages　of　bus　are　decomposed　by　AD　algorithm　to　get　the　optimal　atoms.　According　to　the　atom　frequency,　the　optimal　atoms　are　constructed　as　characteristic　atom　matrix,　which　can　reflect　the　time-frequency　characteristics　of　the　over-voltage　signal.　Features　are　obtained　from　the　characteristic　atom　matrix　by　singular　value　decomposition.　Finally,　the　features　are　input　into　the　SVM　to　achieve　the　identification　of　seven　types　of　internal　over-voltages.　The　proposed　method　is　verified　on　the　simulation　platform.　The　results　show　that　the　proposed　method　has　high　accuracy.　©　2019　Published　under　licence　by　IOP　Publishing　Ltd.

Keyword：

Atoms Environmental technology Singular value decomposition Support vector machines

Community：

[ 1 ] [Liao, Yufei]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
[ 2 ] [Yang, Gengjie]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
[ 3 ] [Gao, Wei]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
[ 4 ] [Guo, Moufa]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China