Parallel implementation of probabilistic short-circuit analysis by the Monte Carlo approach

Abstract

This paper describes the implementation of a Monte Carlo based short-circuit analysis package in a hypercube parallel computer . The program generates accurate estimates of short-circuit current probability distribution curves which can be used in a variety of planning and design studies. Both network modeling aspects, such as network reduced equivalencing and mutual coupling representation, as well as the impact of the sample sizes used in Monte Carlo simulations are fully analyzed and illustrated by numerical results obtained testing on real-world systems. These examples clearly illustrate how computational efficiency in parallel machines varies with the ratio of communication to computation (communication overhead) and of the load balancing among the parallel computer processors.

Um ano sem Alcir Monticelli (1946-2001)

“…Por necessitar de milhares de simulações foram utilizadas técnicas de processamento paralelo e distribuído especialmente desenvolvidas para o problema. As principais contribuições neste tema foram publicadas em (SATO et al, 1994) e em (SATO et al, 2000).…”

Parallelization of on-line risk based security assessment application

“…Some of them include short circuit analysis [38], small disturbance stability [39], state estimation [ 40], and Monte-Carlo simulations for reliability analysis [ 41].…”