Models and considerations for parallel implementation of Monte Carlo simulation methods for power system reliability evaluation

Author

Gubbala, N. ; Singh, C.

Author_Institution

Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA

Volume

10

Issue

2

fYear

1995

fDate

5/1/1995 12:00:00 AM

Firstpage

779

Lastpage

787

Abstract

This paper proposes three topologies for parallelizing the fixed interval Monte Carlo simulation for reliability evaluation of interconnected power systems. The important issue of random number generation for parallel algorithms is also explored in detail. Several studies have been conducted to gain insight into the quantitative and performance results. Extensions of the proposed topologies and random number generation schemes to other simulation techniques are also discussed

Keywords

Monte Carlo methods; parallel algorithms; power system analysis computing; power system interconnection; power system reliability; random number generation; MIMD; Monte Carlo simulation methods; fixed interval Monte Carlo simulation; interconnected power systems; nCUBE; parallel implementation; performance results; power system reliability evaluation; quantitative results; random number generation; sequent balance; simulation techniques; Computational modeling; Concurrent computing; Distributed computing; Power system interconnection; Power system modeling; Power system reliability; Power system simulation; Random number generation; Sampling methods; Topology;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.387917

Filename

387917