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.
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;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.1981.5221166