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RSA-grid: A grid computing based framework for power system reliability and security analysis

M. Ali, Z. Y. Dong, X. Li, P. Zhang

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

Abstract

Grid computing is an emerging technology for providing the high performance computing capability and collaboration mechanism for solving the collaborated and complex problems while using the existing resources. In this paper, a grid computing based framework is proposed for the probabilistic based power system reliability and security analysis. The suggested name of this computing grid is Reliability and Security Grid (RSA-Grid). Then the architecture of this grid is presented. A prototype system has been built for further development of grid-based services for power systems reliability and security assessment based on probabilistic techniques, which require high performance computing and large amount of memory. Preliminary results based on prototype of this grid show that RSA-Grid can provide the comprehensive assessment results for real power systems efficiently and economically. ©2006 IEEE.
Original languageEnglish
Title of host publication2006 IEEE Power Engineering Society General Meeting, PES
PublisherIEEE Computer Society
ISBN (Print)1424404932, 9781424404933
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 IEEE Power Engineering Society General Meeting (PES 2006) - Montreal, QC, Canada
Duration: 18 Jun 200622 Jun 2006

Publication series

Name2006 IEEE Power Engineering Society General Meeting, PES

Conference

Conference2006 IEEE Power Engineering Society General Meeting (PES 2006)
PlaceCanada
CityMontreal, QC
Period18/06/0622/06/06

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

  • Grid computing
  • Monte Carlo simulation
  • Power system reliability and security analysis
  • Probabilistic reliability analysis

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