Generalized observability analysis and measurement classification

被引：57

作者：

Exposito, AG ^{[1
]}

Abur, A

机构：

[1] Univ Seville, Dept Elect Engn, Seville, Spain

[2] Texas A&M Univ, Dept Elect Engn, College Stn, TX 77843 USA

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 1998年 / 13卷 / 03期

关键词：

state estimation; network observability; linear circuits; sparsity methods;

D O I：

10.1109/59.709104

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：

Network observability analysis is formulated in a way to incorporate the conventional as well as unconventional measurements, including line currents. This formulation has two essential advantages over the existing methods of network observability analysis: (1) it detects not only unobservability but also uniqueness of the observed state, (2) it can directly identify the unobservable or nonuniquely observable branches without having to remove the irrelevant injections in an iterative manner, In addition, unlike the numerical observability analysis methods proposed so far, it can readily identify residual spread components and critical measurements. The proposed formulation is implemented and tested on sample power systems.

引用

页码：1090 / 1095

页数：6

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