Applying Computational Grid Technology to Power System

Feng Ji Luo; Zhao Yang Dong; Can Wan; Ying Ying Chen; Ke Meng; Kit Po Wong

doi:10.4028/www.scientific.net/AMM.58-60.1442

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 58-60Applying Computational Grid Technology to Power...

Applying Computational Grid Technology to Power System

Abstract:

This paper proposes a computational grid platform for solving the large-scale power system applications. The platform is based on Globus Toolkit middleware and GridWay meta-scheduler. It can enable large-scale sharing of computational resources across institutional boundary. This paper first discusses the architecture and each component of the platform, and then the test bed is described. Finally, the test results of probabilistic load flow (PLF) by Monte-Carlo simulation are presented. The test results show that the computational Grid system can provide comparable performance.

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Periodical:

Applied Mechanics and Materials (Volumes 58-60)

Pages:

1442-1447

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.58-60.1442

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Online since:

June 2011

Authors:

Feng Ji Luo, Zhao Yang Dong, Can Wan, Ying Ying Chen, Ke Meng, Kit Po Wong

Keywords:

Computational Grid, Grid Computing, Monte-Carlo Simulation, Power System, Probabilistic Load Flow (PLF)

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References

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