Abstract
Grid computing is an advanced technique for collaboratively solving complicated scientific problems using geographically and organisational dispersed computational, data storage and other recourses. Application of grid computing could provide significant benefits to all aspects of power system that involves using computers. Based on our previous research, this paper presents a novel grid computing approach for probabilistic small signal stability (PSSS) analysis in electric power systems with uncertainties. A prototype computing grid is successfully implemented in our research lab to carry out PSSS analysis on two benchmark systems. Comparing to traditional computing techniques, the gird computing has given better performances for PSSS analysis in terms of computing capacity, speed, accuracy and stability. In addition, a computing grid framework for power system analysis has been proposed based on the recent study.
| Original language | English |
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| Title of host publication | 2006 IEEE Power Engineering Society General Meeting, PES |
| Publication status | Published - 1 Dec 2006 |
| Externally published | Yes |
| Event | 2006 IEEE Power Engineering Society General Meeting, PES - Montreal, QC, Canada Duration: 18 Jun 2006 → 22 Jun 2006 |
Conference
| Conference | 2006 IEEE Power Engineering Society General Meeting, PES |
|---|---|
| Country/Territory | Canada |
| City | Montreal, QC |
| Period | 18/06/06 → 22/06/06 |
Keywords
- Eigenvector
- Grid computing
- Monte Carlo simulation
- Participation factor
- Small signal stability
ASJC Scopus subject areas
- Electrical and Electronic Engineering