DocumentCode :
1471953
Title :
Composite reliability evaluation by sequential Monte Carlo simulation on parallel and distributed processing environments
Author :
Borges, Carmen L T ; Falcão, Djalma M. ; Mello, João Carlos O ; Melo, Albert C G
Author_Institution :
Fed. Univ. of Rio de Janeiro, Brazil
Volume :
16
Issue :
2
fYear :
2001
fDate :
5/1/2001 12:00:00 AM
Firstpage :
203
Lastpage :
209
Abstract :
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 :
Monte Carlo methods; parallel machines; power system reliability; power system simulation; 10 nodes IBM RS/6000 SP scalable distributed memory parallel computer; IBM RS/6000 43P workstations; adequacy analysis; composite reliability evaluation; distributed processing environments; parallel processing environments; power system reliability; sequential Monte Carlo simulation; system operating states; Analytical models; Computational modeling; Computer networks; Concurrent computing; Convergence; Distributed computing; Monte Carlo methods; Performance analysis; Power system modeling; Power system simulation;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.918287
Filename :
918287
Link To Document :
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