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

Ali, M., Dong, Z. Y., Li, X. and Zhang, P. (2006). RSA-Grid: A grid computing based framework for power system reliability and security analysis. In: Proceedings of the 2006 IEEE Power Engineering Society General Meeting. 2006 IEEE Power Engineering Society General Meeting, Montreal, Canada, (1709374.1-1709374.7). 18-22 June 2006.


Author Ali, M.
Dong, Z. Y.
Li, X.
Zhang, P.
Title of paper RSA-Grid: A grid computing based framework for power system reliability and security analysis
Conference name 2006 IEEE Power Engineering Society General Meeting
Conference location Montreal, Canada
Conference dates 18-22 June 2006
Proceedings title Proceedings of the 2006 IEEE Power Engineering Society General Meeting
Journal name 2006 IEEE Power Engineering Society General Meeting, PES
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2006
Sub-type Fully published paper
ISBN 1424404932
9781424404933
Volume 1
Issue 1
Start page 1709374.1
End page 1709374.7
Total pages 7
Collection year 2006
Language eng
Abstract/Summary 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.
Subjects E1
290901 Electrical Engineering
660304 Energy systems analysis
280000 Information, Computing and Communication Sciences
660301 Electricity transmission
Q-Index Code E1
Institutional Status UQ
Additional Notes Article number 1709374

 
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Created: Thu, 23 Aug 2007, 22:25:35 EST