DocumentCode :
1418454
Title :
Generalized observability analysis and measurement classification
Author :
Exposito, Antonio Gomez ; Abur, Ali
Author_Institution :
Dept. of Electr. Eng., Seville Univ., Spain
Volume :
13
Issue :
3
fYear :
1998
fDate :
8/1/1998 12:00:00 AM
Firstpage :
1090
Lastpage :
1095
Abstract :
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
Keywords :
observability; power system measurement; power system state estimation; critical measurements; generalized observability analysis; line currents; linear circuits; measurement classification; network observability analysis; observed state uniqueness; power systems; residual spread components; sparsity methods; state estimation; Circuit testing; Current measurement; Gain measurement; Jacobian matrices; Observability; Power system analysis computing; Power system measurements; Power system modeling; Sparse matrices; State estimation;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.709104
Filename :
709104
Link To Document :
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