LEAST MEDIAN OF SQUARES ESTIMATION IN POWER-SYSTEMS

被引：94

作者：

MILI, L ^{[1
]}

PHANIRAJ, V ^{[1
]}

ROUSSEEUW, PJ ^{[1
]}

机构：

[1] VRIJE UNIV BRUSSELS,DEPT STAT,B-1050 BRUSSELS,BELGIUM

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 1991年 / 6卷 / 02期

关键词：

LEAST MEDIAN OF SQUARES STATE ESTIMATION; BREAKDOWN POINT; LEVERAGE POINT; RESAMPLING METHOD;

D O I：

10.1109/59.76693

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：

Static state estimators currently in use in power systems are prone to masking by multiple bad data. This is mainly because the power system regression model contains many leverage points ; typically they have a cluster pattern. As reported recently in the statistical literature, only high breakdown point estimators are robust enough to cope with gross errors corrupting such a model. This paper deals with one such estimator, the least median of squares estimator, developed by Rousseeuw in 1984. The robustness of this method is assessed while applying it to power systems. Resampling methods are developed, and simulation results for IEEE test systems discussed.

引用

页码：511 / 523

页数：13

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