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Composite reliability evaluation by sequential Monte Carlo simulation on parallel and distributed processing environments

delete2001-05-01
delete106
PRE
AI
C
Carmen L.T. Borges
D
D.M. Falcão
M
Mello, JCO
A
A.C.G. Melo
DOI：10.1109/59.918287delete
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Abstract

Abstract

En 中文
This paper describes two parallel methodologies for composite reliability evaluation using sequential Monte Carlo simulation, The methodologies are based on coarse grain asynchronous implementations. In the first methodology, a complete simulation year is analyzed on a single processor and the many simulated years necessary for convergence are analyzed in parallel. In the second methodology, the adequacy analysis of the system operating states within the simulated years is performed in parallel and the convergence is checked on one processor at the end of each simulated year. The methodologies are implemented on a 10 nodes IBM RS/6000 SP scalable distributed memory parallel computer and on a network of 8 IBM RS/6000 43P workstations. The results obtained in tests with actual power system models showed high speedup and efficiency on both parallel platforms.
Keywords:
composite systems
distributed computing
Monte Carlo methods
parallel processing
power system reliability
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Journal

IEEE Transactions on Power Systems cover
IEEE Transactions on Power Systems
IF:
7.2
Papers:
1.1W
Citations:
5.0W

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No organization information available