DocumentCode
1024139
Title
A W-matrix based fast decoupled load flow for contingency studies on vector computers
Author
Granelli, G.P. ; Montagna, M. ; Pasini, G.L. ; Marannino, P.
Author_Institution
Dipartimento di Ingegneria Elettrica, Pavia Univ., Italy
Volume
8
Issue
3
fYear
1993
fDate
8/1/1993 12:00:00 AM
Firstpage
946
Lastpage
953
Abstract
The authors deal with an application of the inverse factors method (W-matrix method) to a fast decoupled load flow procedure for steady-state contingency analysis. The W-matrix method, originally developed for the solution of sparse sets of linear equations on multiple instruction/multiple data (MIMD) computers, can also be made effective for vector computers. The recurrence problem is overcome by reordering the addition operations required in a forward and backward solution. Matrix partitioning is employed to find the best tradeoff between the number of fill-ins added to the W matrix and the increased efficiency of vector operations achieved through a reduced number of partitions. The effect of different bus ordering algorithms on the partition number is also considered. Operation reordering is employed to make the bus power computation phase very fast in comparison to traditional bus-wise calculation. Tests were performed on the IEEE 118 bus system, some different configurations of the Italian EHV system and a European equivalent network with up to about 700 buses using a 4-CPU CRAY Y-MP8/432 and a 4-CPU Alliant FX/80 computer
Keywords
load flow; matrix algebra; power system analysis computing; 4-CPU Alliant FX/80 computer; 4-CPU CRAY Y-MP8/432; European equivalent network; IEEE 118 bus system; Italian EHV system; MIMD computers; W-matrix based fast decoupled load flow; bus power computation phase; contingency studies; vector computers; Application software; Computer aided instruction; Equations; Load flow; Load flow analysis; Partitioning algorithms; Sparse matrices; Steady-state; System testing; Vectors;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.260907
Filename
260907
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