Stochastic Prediction of Voltage Sags in Distribution Systems

Abstract

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.