A novel grid computing approach for probabilistic small signal analysis

Zhao Xu, Mohsin Ali, Z. Y. Dong, X. Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

25 Citations (Scopus)

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 languageEnglish
Title of host publication2006 IEEE Power Engineering Society General Meeting, PES
Publication statusPublished - 1 Dec 2006
Externally publishedYes
Event2006 IEEE Power Engineering Society General Meeting, PES - Montreal, QC, Canada
Duration: 18 Jun 200622 Jun 2006

Conference

Conference2006 IEEE Power Engineering Society General Meeting, PES
Country/TerritoryCanada
CityMontreal, QC
Period18/06/0622/06/06

Keywords

  • Eigenvector
  • Grid computing
  • Monte Carlo simulation
  • Participation factor
  • Small signal stability

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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