DocumentCode :
1506396
Title :
Detecting multiple solutions in state estimation in the presence of current magnitude measurements
Author :
Abur, Ali ; Expósito, Antonio Gómez
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume :
12
Issue :
1
fYear :
1997
fDate :
2/1/1997 12:00:00 AM
Firstpage :
370
Lastpage :
375
Abstract :
This paper investigates the observability problem when the network contains current magnitude measurements. Use of these measurements may lead to multiple solutions and therefore to the loss of unique observability for certain measurement configurations. The paper proposes a simple method based on the commonly used measurement residual covariance matrix, in order to detect the possibility of multiple solutions for a given measurement set. The proposed test is simple to implement and uses the already available matrices and data structures of the commonly used weighted least squares state estimation programs. It can be utilized as a planning tool during the initial stages of measurement system design as well as an online observability analysis tool to enhance the capability of the existing observability programs which can not properly process the current magnitude measurements. Numerical examples are provided to demonstrate the performance of the proposed method on sample power systems
Keywords :
covariance matrices; electric current measurement; least squares approximations; observability; power system measurement; power system state estimation; current magnitude measurements; measurement residual covariance matrix; multiple solutions detection; observability problem; online observability analysis tool; planning tool; state estimation; weighted least squares state estimation; Covariance matrix; Current measurement; Data structures; Least squares approximation; Loss measurement; Observability; Power system planning; Process planning; State estimation; Testing;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.575721
Filename :
575721
Link To Document :
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