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Abstract:
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This research presents a new case study of fault distribution modeling in stochastic
prediction study of voltage sags in the distribution system. Using two-dimension stochastic
models for fault modeling allows to obtain the fault performance for the whole system of
interest that helps obtaining not only sag performance at individual locations but also
system sag performance through system indices of voltage sag. By using bivariate normal
distribution for fault distribution modeling, the research also illustrates the influence of the
used model parameters on system voltage sag performance. The research also develops
SARFIX for distribution system regarding phase loads that creates better estimation for
voltage sag performance. |