DocumentCode :
1084288
Title :
Analysis of measurement-set qualitative characteristics for state-estimation purposes
Author :
London, Joao B. A. ; Alberto, Luis Fernando C. ; Bretas, Newton G.
Author_Institution :
Dept. of Electr. Eng., EESCUniv. of Sao Paulo
Volume :
1
Issue :
1
fYear :
2007
fDate :
1/1/2007 12:00:00 AM
Firstpage :
39
Lastpage :
45
Abstract :
The paper proposes a new tool for real-time assessment of measurement sets in the context of power-system-state estimation. This tool incorporates many functions including observability analysis and restoration, as well as identification of critical measurements and critical sets. Using only network-topology data, the proposed methodology updates the qualitative characteristics of the current available measurement set in real time. The identification of critical measurements and sets is done using only network topology and is completed before running any state estimation. Mapping the system states and using information concepts, a new state space is obtained where the relationship (information) between measurements and states is straightforward. This map is easily found via triangular factorisation of the Jacobian matrix. Starting from a base-case measurement set, every time a snapshot of measurements has to be analysed, only refactorisation has to be carried out. Sparse-matrix techniques speed up the process. The method was tested in the IEEE-14-bus system as well as in the Brazilian 383-bus system, proving to be reliable, fast, easy to implement and suitable for real-time operation.
Keywords :
Jacobian matrices; matrix decomposition; network topology; observability; power system measurement; power system state estimation; redundancy; sparse matrices; state-space methods; Brazilian 383-bus system; IEEE-14-bus system; Jacobian matrix; critical measurements identification; critical sets identification; measurement-set qualitative characteristics; network topology; observability analysis; power system state estimation; real-time assessment; restoration; sparse-matrix techniques; triangular factorisation;
fLanguage :
English
Journal_Title :
Generation, Transmission & Distribution, IET
Publisher :
iet
ISSN :
1751-8687
Type :
jour
DOI :
10.1049/iet-gtd:20050171
Filename :
4082366
Link To Document :
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