Fault distribution modeling using stochastic bivariate models for prediction of voltage sag in distribution systems

Title
Fault distribution modeling using stochastic bivariate models for prediction of voltage sag in distribution systems
Authors
Won, D.J.
Keywords
bivariate normal distribution, fault distribution modeling, phase loads
Issue Date
2008-01
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Abstract
This paper presents a new method regarding fault distribution modeling for the stochastic prediction study of voltage sags in the distribution system. 2-D stochastic models for fault modeling make it possible to obtain the fault performance for the whole system of interest, which helps to obtain not only sag performance at individual locations but also system sag performance through system indices of voltage sag. By using the bivariate normal distribution for fault distribution modeling, this paper estimates the influence of model parameters on system voltage sag performance. The paper also develops the modified SARFI(x) regarding phase loads that create better estimation for voltage sag performance for the distribution system.
URI
http://dspace.inha.ac.kr/handle/10505/1636
ISSN
0885-8977
Appears in Collections:
College of Information Technology & Engineering (IT공과대학) > Electrical Engineering (전기공학) > Local Access Journal, Report (전기공학 논문, 보고서)
Files in This Item:
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