• DocumentCode
    2681758
  • Title

    A novel grid computing approach for probabilistic small signal analysis

  • Author

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

  • Author_Institution
    Sch. of Inf. Technol. & Electr. Eng., Queensland Univ., Brisbane, Qld.
  • fYear
    0
  • fDate
    0-0 0
  • 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
  • Keywords
    grid computing; power engineering computing; power system stability; probability; benchmark systems; data storage; electric power system stability analysis; grid computing approach; probabilistic small signal stability analysis; Application software; Collaboration; Grid computing; Memory; Power system analysis computing; Power system stability; Power systems; Signal analysis; Stability analysis; Uncertainty; Grid Computing; Monte Carlo simulation; eigenvector; participation factor; small signal stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2006. IEEE
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0493-2
  • Type

    conf

  • DOI
    10.1109/PES.2006.1709449
  • Filename
    1709449