DocumentCode :
1043931
Title :
Stochastic Estimation of Voltage Sags in a Large Meshed Network
Author :
Park, Chang-Hyun ; Jang, Gilsoo
Author_Institution :
Korea Univ., Seoul
Volume :
22
Issue :
3
fYear :
2007
fDate :
7/1/2007 12:00:00 AM
Firstpage :
1655
Lastpage :
1664
Abstract :
This paper presents a method for stochastic prediction of voltage sags caused by faults in a power system. The area of vulnerability must be determined to estimate the expected sag frequency (ESF) at a sensitive load site. However, the area of vulnerability is not easy to identify in a large meshed network. In the paper, the residual phase voltage equations for balanced and unbalanced faults are presented, and an efficient method to determine the area of vulnerability in a large meshed network is described. An ESF estimation method based on information technology industry council (ITIC) curve is also described. The developed method was applied to the IEEE 30-bus test system.
Keywords :
estimation theory; power supply quality; stochastic processes; ESF estimation; IEEE 30-bus test system; expected sag frequency; information technology industry council; large meshed network; residual phase voltage equations; stochastic estimation; voltage sags; Circuit faults; Equations; Fault location; Frequency estimation; Power quality; Power system faults; Protection; Stochastic processes; Threshold voltage; Voltage fluctuations; Area of vulnerability; power quality; stochastic assessment; voltage sags;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2006.886795
Filename :
4265714
Link To Document :
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