DocumentCode :
3791570
Title :
Multiple regression models as identifiers of power system weak points
Author :
S.S. Halilcevic;A.F. Gubina;B. Strmcnik;F. Gubina
Author_Institution :
Fac. of Electr. Eng., Univ. of Tuzla, Bosnia-Herzegovina
Volume :
153
Issue :
2
fYear :
2006
fDate :
3/16/2006 12:00:00 AM
Firstpage :
211
Lastpage :
216
Abstract :
Multiple regression models designed to identify the weak points of a power system are presented. On the basis of the determined reliability indices (duration of loss of load DLOL, and demand-not-supplied DNS), and by taking into account the apparent power difference criterion SDC as a voltage collapse proximity index, one can define the mutual relationship between these indices and the states of the particular power system components. The regression coefficients of MRMs indicate participation of each power system component (generators, transmission lines, substations, etc.) with regard to DLOL, DNS and SDC. Such information helps take measures of increasing the power system reliability and security. Subject-related results obtained in the Bosnian utility are given.
Journal_Title :
IEE Proceedings - Generation, Transmission and Distribution
Publisher :
iet
ISSN :
1350-2360
Type :
jour
DOI :
10.1049/ip-gtd:20050287
Filename :
1610518
Link To Document :
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