Automated Recognition of Irregularities in Substation Load Profiles Due to Abnormal Feeding Arrangements

被引：0

作者：

Leaman, A. J. ^{[1
]}

Nouri, H. ^{[2
]}

Polycarpou, A. ^{[3
]}

Linde, F. V. der ^{[4
]}

Ciric, R. M. ^{[5
]}

机构：

[1] Univ W England, Bristol BS16 1QY, Avon, England

[2] UWE Bristol, Bristol, Avon, England

[3] Frederick Univ Cyprus, Frederick, MD USA

[4] Western Power, Perth, WA, Australia

[5] Novi Sad Serbia, Serbia, Serbia

来源：

2008 PROCEEDINGS OF THE 43RD INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE, VOLS 1-3 | 2008年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Detection of abnormal feeding through the concept of Data Mining is studied. The presented results are In the form of case studies for various abnormalities. The developed detection algorithm is based on feeding patterns that compare the load profile against a reference waveform in conjunction with a threshold to denote abnormality.

引用

页码：579 / +

页数：2