Detection of Power Disturbances using Mathematical Morphology on Small Data Windows

被引：0

作者：

Igna, Dwijaya Saputra ^{[1
]}

Smith, J. S. ^{[1
]}

Wu, Q. H. ^{[1
]}

机构：

[1] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England

来源：

2016 39TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP) | 2016年

关键词：

Boundary extraction; dilation; disturbances; erosion; Mathematical Morphology; power quality;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a new method for detecting power disturbances in power distribution systems. The proposed method is based on Mathematical Morphology and operates by initially converting the vector signal into a matrix. The mean value of each row of the new matrix is calculated and then compared with the mean value of the normal signal in order to find the time location of any disturbances. The higher mean value of each row indicates the time location of any disturbances. This strategy has been simulated using Matlab for sag, swell, and voltage interruption. The results show immediate detection when any three of the disturbances occurred.

引用

页码：211 / 214

页数：4

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