DocumentCode :
1043886
Title :
Online short-term reliability evaluation using a fast sorting technique
Author :
Liu, H. ; Sun, Y. ; Cheng, L. ; Wang, P. ; Xiao, F.
Author_Institution :
Tsinghua Univ., Beijing
Volume :
2
Issue :
1
fYear :
2008
fDate :
1/1/2008 12:00:00 AM
Firstpage :
139
Lastpage :
148
Abstract :
To consider time varying system operating conditions and operating reserve units, the online short-term reliability of a power system is investigated. Real-time system reliability based on the online operation data provided by the SCADA/EMS/WAMS is assessed using time- dependent state probabilities of components. Considering both speed and accuracy requirements, a fast sorting technique (FST) is proposed to quickly select the required number of system states in descending order probability. The number of computations and comparisons used in the evaluation is minimum. The relative accuracy of a given reliability index is denned as the stopping rule for the evaluation. As only a small number of system states are required to achieve the high accuracy of the short-term reliability indices when using the FST, the evaluation can be performed in an online environment. The proposed evaluation technique is illustrated by the application to the IEEE-RTS and China Southern Power Grid.
Keywords :
power grids; power system reliability; fast sorting technique; online short-term reliability evaluation; power system reliability;
fLanguage :
English
Journal_Title :
Generation, Transmission & Distribution, IET
Publisher :
iet
ISSN :
1751-8687
Type :
jour
DOI :
10.1049/iet-gtd:20070340
Filename :
4436114
Link To Document :
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