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IEEE Transactions on Reliability
Article . 1981 . Peer-reviewed
License: IEEE Copyright
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Discrete Convolution in Power System Reliability

Discrete convolution in power system reliability
Authors: Allan, R. N.; Leite da Silva, A. M.; Abu-Nasser, A. A.; Burchett, R. C.;

Discrete Convolution in Power System Reliability

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

power systems, Applications of renewal theory (reliability, demand theory, etc.), reliability, Reliability, availability, maintenance, inspection in operations research, discrete convolution, sum of discrete s-independent random variables, capacity-outage probability tables

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
58
Top 10%
Top 1%
Average
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