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Applying computational grid technology to power system

  • Fengji Luo
  • , Zhaoyang Dong
  • , Can Wan
  • , Yingying Chen
  • , Ke Meng
  • , Kit-Po Wong

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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. © (2011) Trans Tech Publications, Switzerland.
Original languageEnglish
Title of host publicationInformation Technology for Manufacturing Systems II
Pages1442-1447
Volume58-60
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 International Conference on Information Technology for Manufacturing Systems, ITMS 2011 - Shanghai, China
Duration: 7 May 20118 May 2011

Publication series

NameApplied Mechanics and Materials
Volume58-60
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2011 International Conference on Information Technology for Manufacturing Systems, ITMS 2011
PlaceChina
CityShanghai
Period7/05/118/05/11

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Computational grid
  • Grid computing
  • Monte-Carlo simulation
  • Power system
  • Probabilistic load flow (PLF)

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