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Stochastic Estimation of Voltage Sags in a Large Meshed Network.

Authors :
Chang-Hyun Park
Gilsoo Jang
Source :
IEEE Transactions on Power Delivery. Jul2007, Vol. 22 Issue 3, p1655-1664. 10p. 2 Black and White Photographs, 5 Charts, 11 Graphs.
Publication Year :
2007

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08858977
Volume :
22
Issue :
3
Database :
Academic Search Index
Journal :
IEEE Transactions on Power Delivery
Publication Type :
Academic Journal
Accession number :
25804558
Full Text :
https://doi.org/10.1109/TPWRD.2006.886795