An Advanced Probabilistic Short-Circuit Program

Abstract

This paper presents a fully documented, sparsity-oriented probabilistic fault analysis program using Monte Carlo simulations. The program provides the probability distributions of bus and line currents in particular regions of a power network with provision for random variation of system and fault data. The program exploits a dynamic memory scheme and sparsity-based manipulations together with an advanced method of treating mutual coupling between lines for repeat faults in regions containing up to 680 buses (including network equivalents). The program is capable of simulating different types of symmetrical and unsymmetrical bus and/or line faults assigned randomly with complete flexibility for biasing the fault data. The program offers a variety of options for processing fault data and for printing brief or detailed intermediate and final output results.