AMI-Enabled Distribution Network Line Outage Identification via Multi-Label SVM

被引：38

作者：

Hosseini, Zohreh S. ^{[1
]}

Mahoor, Mohsen ^{[1
]}

Khodaei, Amin ^{[1
]}

机构：

[1] Univ Denver, Dept Elect & Comp Engn, Denver, CO 80210 USA

来源：

IEEE TRANSACTIONS ON SMART GRID | 2018年 / 9卷 / 05期

基金：

美国国家科学基金会;

关键词：

Multi-label SVM classifier; line outage identification; smart meter;

D O I：

10.1109/TSG.2018.2849845

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：

This letter proposes an effective data mining method for identifying distribution network line outages by leveraging data collected through Advanced Metering Infrastructure (AMI). The line outage identification method is developed based on a Multi-Label Support Vector Machine (ML-SVM) classification scheme that utilizes the status of customers' smart meters as input data and accordingly identifies the outage/operational status of distribution lines. The F-beta-score is proposed to validate the performance of the classifier through numerical simulations.

引用

页码：5470 / 5472

页数：3

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