• DocumentCode
    1348131
  • Title

    Discrete Convolution in Power System Reliability

  • Author

    Allan, R.N. ; Da Silva, A. M Leite ; Abu-Nasser, A.A. ; Burchett, R.C.

  • Author_Institution
    Department of Electrical Engineering; UMIST; Sackville Street; Manchester M60 1QD; ENGLAND.
  • Issue
    5
  • fYear
    1981
  • Firstpage
    452
  • Lastpage
    456
  • Abstract
    This paper describes a general method for convolving discrete distributions using Fast Fourier Transforms. It can be used in evaluating reliability of any system involving discrete or discretised convolution. It has been used in power system studies to deduce capacity-outage probability tables and to solve probabilistic load flows. These studies have shown it to be much less time-consuming and more efficient than the conventional direct methods. The method is used in the paper to evaluate the loss of load probability of a generating system in order to demonstrate the method´s application and inherent merits.
  • Keywords
    Capacity planning; Convolution; Fast Fourier transforms; Fourier series; Load flow; Power generation; Power system modeling; Power system reliability; Random variables; Reliability theory; Capacity-outage probability tables; Discrete convolution; Power systems; Sum of discrete s-independent random variables;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.1981.5221166
  • Filename
    5221166