Stochastic Assessment of Voltage Sags in Distribution Networks

This paper compares fault position and monte carlo methods as the mostcommon methods in stochastic assessment of voltage sags. to compare their abilities,symmetrical and unsymmetrical faults with different probability distribution of faultpositions along the lines are applied in a test system. the voltage sag magnitude in differentnodes of test system is calculated. the problem with these two methods is that they requireunknown number of iteration in monte carlo method and number of fault position toconverge to an acceptable solution. this paper proposes a method based on characteristicbehavior of monte carlo simulations for determination required number of iteration inmonte carlo method.