Stochastic assessment of voltage sags in distribution networks

This paper compares fault position and Monte Carlo methods as the most common methods in stochastic assessment of voltage sags. To compare their abilities, symmetrical and unsymmetrical faults with different probability distribution of fault position along the lines are applied in a test system. The voltage sag magnitude in different nodes of test system is calculated. The problem in these two methods is that they require unknown number of iteration in Monte Carlo method and number of fault position to converge to an acceptable solution. This paper proposes a method based on confidence interval for determination required number of iteration in Monte Carlo method.