DocumentCode :
1128110
Title :
Author :
Castillo, Enrique ; Conejo, Antonio J. ; Pruneda, Rosa E. ; Solares, Cristina ; Menéndez, José M.
Author_Institution :
Univ. of Cantabria, Santander
Volume :
23
Issue :
2
fYear :
2008
fDate :
5/1/2008 12:00:00 AM
Firstpage :
296
Lastpage :
305
Abstract :
This paper provides a technique to determine the minimum required measurement set to ensure observability in state estimation even if any meters fail. The technique relies on solving a nonlinear integer programming problem. The proposed procedure is illustrated through a simple example and three case studies based on the IEEE Test Systems. Conclusions are finally drawn.
Keywords :
integer programming; linear algebra; nonlinear programming; state estimation; linear algebra; nonlinear integer programming problem; robust observability; state estimation; Binary variables; linear algebra; observability analysis; power system state estimation;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2008.920707
Filename :
4487650
Link To Document :
