Identification of multiple interacting bad data via power system decomposition

被引：31

作者：

Cheniae, MG ^{[1
]}

Mili, L ^{[1
]}

Rousseeuw, PJ ^{[1
]}

机构：

[1] UNIV INSTELLING ANTWERP,DEPT MATH,B-2610 ANTWERP,BELGIUM

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 1996年 / 11卷 / 03期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1109/59.535697

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 [电气工程]; 0809 [电子科学与技术];

摘要：

This paper presents a new, highly robust bad data identification algorithm for electric power system state estimation. A system decomposition scheme is coupled with the least median of squares estimator to allow identification of multiple interacting bad data even in cases of conforming errors. The algorithm is inherently resistant to bad measurements in positions of leverage, makes no a priori measurement error probability distribution assumptions, and is applicable in a real-time environment.

引用

页码：1555 / 1562

页数：8

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