DocumentCode
2799185
Title
Network observability: identification of the measurements redundancy level
Author
London, J. B A, Jr. ; Alberto, L.F.C. ; Bretas, N.G.
Author_Institution
Escola Politecnica, Sao Paulo Univ., Brazil
Volume
2
fYear
2000
fDate
2000
Firstpage
577
Abstract
In this paper, a new method to identify the redundancy level of each measurement associated to an observable power system is proposed. The proposed method also identifies the critical measurements, and sets of measurements that removed at same time from the measurement set make the power system unobservable. The redundancy level is very important to operators in order to guide the search for adequate reinforcement of the available measurement set. The proposed method is based on the linear dependency relation of the rows of the Jacobian matrix. To determine this relation, a convenient exchange of basis in the state space is made. The exploration of sparsity techniques and some adaptations make the proposed method simple and fast. This method has been tested in the IEEE-14-bus system, and in two realistic systems of the Brazilian utilities (one of them is a 121-bus system from ELETROSUL, and the other is a 384-bus system from CHESF-Companhia Hidroeletrica do Sao Francisco)
Keywords
Jacobian matrices; observability; power system measurement; power system state estimation; redundancy; state-space methods; Brazil; IEEE-14-bus system; Jacobian matrix; computer simulation; electric utilities; measurements redundancy level identification; network observability; observable power system; sparsity techniques; state space; Jacobian matrices; Loss measurement; Observability; Power measurement; Power system measurements; Power system reliability; Redundancy; State estimation; State-space methods; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Power System Technology, 2000. Proceedings. PowerCon 2000. International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-6338-8
Type
conf
DOI
10.1109/ICPST.2000.897087
Filename
897087
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