DocumentCode :
1361585
Title :
Operational reliability assessment of power systems considering condition-dependent failure rate
Author :
Sun, Yue ; Wang, Peng ; Cheng, Lin ; Liu, Hongying
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
Volume :
4
Issue :
1
fYear :
2010
fDate :
1/1/2010 12:00:00 AM
Firstpage :
60
Lastpage :
72
Abstract :
Failure rate of a system component is usually assumed to be constant in conventional reliability evaluation of power systems. It has been realised from the real-time operation that a component will experience more failures during heavy loading condition than those during light loading condition, which means that the failure rate of a component in real-time operation is not constant and varies with loading condition. In order to evaluate system operational reliability related to load condition, the factors affected condition-dependent failure rate (CDFR) are investigated and a basic CDFR model is proposed in this study. In predictive operational reliability study, equipment loading condition for a given load period is determined using AC power flow based on the corresponding load level with considering load uncertainty. A four-state model has been proposed to represent a system component. The equations for determining the probability of each state for the four-state model have been derived. A technique based on these equations and models has been developed to evaluate operational and annual reliability indices of components, load points and system. The IEEE-RTS has been analysed to illustrate the proposed models and technique.
Keywords :
load (electric); power system management; power system measurement; power system reliability; AC power flow; condition-dependent failure rate; equipment loading condition; four-state model; load points; load uncertainty; operational reliability assessment; power systems; reliability indices; system component;
fLanguage :
English
Journal_Title :
Generation, Transmission & Distribution, IET
Publisher :
iet
ISSN :
1751-8687
Type :
jour
DOI :
10.1049/iet-gtd.2009.0006
Filename :
5357361
Link To Document :
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