DocumentCode :
2381614
Title :
Observability of Power Systems based on Fast Pseudorank Calculation of Sparse Sensitivity Matrices
Author :
Alber, Jochen ; Pöller, Markus
Author_Institution :
DIgSILENT GmbH
fYear :
2006
fDate :
21-24 May 2006
Firstpage :
127
Lastpage :
132
Abstract :
This paper describes a novel approach for the observability analysis in state estimation of large-scale power systems. We draw a one-to-one correspondence of the observability of a network to the rank of a corresponding sensitivity matrix. This general framework is not purely based on topological aspects, but takes into account all electrical quantities of the network and turns out to be very generic and flexible. In order to solve the observability problem, a novel algorithm for very fast "pseudorank" calculations on sparse matrices is developed. This approach allows, on the one hand, to identify equivalence classes of redundant measurements. On the other hand, the algorithm can detect all observable islands and group unobservable states according to their "observability deficiency". Our algorithm bares high potential in coping with unobservable areas: a method is described which incorporates a minimum number of pseudo-measurements to yield observability. The performance of the algorithm is tested on real-world network (with data gained from an underlying ABB MicroSCADA system) and compared to common rank calculation with singular value decompositions on sparse matrices
Keywords :
SCADA systems; observability; power system interconnection; power system state estimation; sensitivity analysis; singular value decomposition; sparse matrices; MicroSCADA system; large-scale power system state estimation; observability deficiency; power system observability analysis; pseudorank calculation; real-world network; singular value decompositions; sparse sensitivity matrices; Current measurement; Load flow; Observability; Position measurement; Power measurement; Power system analysis computing; Power systems; Singular value decomposition; Sparse matrices; State estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission and Distribution Conference and Exhibition, 2005/2006 IEEE PES
Conference_Location :
Dallas, TX
Print_ISBN :
0-7803-9194-2
Type :
conf
DOI :
10.1109/TDC.2006.1668471
Filename :
1668471
Link To Document :
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