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
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