Concurrent composite reliability evaluation using the state sampling approach

This paper presents a parallel methodology for composite reliability evalua tion using Monte Carlo simulation by the state sampling approach. The metho dology is based on coarse-grain parallelism, in which the adequacy analyses of the sampled system states are performed by different processors and the parallel process convergence is controlled by an asynchronous algorithm. T he methodology was implemented on parallel and distributed processing envir onments: a ten-node IBM RS/6000 SP distributed memory parallel computer and a network of eight IBM RS/6000 43P workstations. The results obtained in t ests with actual power system models show high speed-up and efficiency on b oth platforms and very good scalability. (C) 2001 Elsevier Science B.V. All rights reserved.