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