Title :
Cumulant based probabilistic power system simulation using Laguerre polynomials
Author :
Tian, W.D. ; Sutanto, D. ; Lee, Y.B. ; Outhred, H.R.
Author_Institution :
EPRI, Beijing, China
fDate :
12/1/1989 12:00:00 AM
Abstract :
The authors describe a novel cumulant method of probabilistic power system simulation using the Laguerre polynomial expansion. In this method, Laguerre polynomials are used for obtaining the equivalent load duration probability density function from cumulants representing the load and generator outage probability density functions. A recursive algorithm is used for calculating moments and cumulants which enables practically any number of cumulants to be used in the simulation. The results of testing the method on the IEEE Reliability Test System are presented. The accuracy and computational efficiency of the method are compared with those of the conventional cumulant method based on the Hermite polynomial expansion
Keywords :
power system analysis computing; power systems; probability; Hermite polynomial expansion; IEEE Reliability Test System; Laguerre polynomial expansion; accuracy; computational efficiency; equivalent load duration probability density function; probabilistic power system simulation; Capacity planning; Chromium; Density functional theory; Gaussian distribution; Interpolation; Polynomials; Power generation; Power system simulation; Probability distribution; Random variables;
Journal_Title :
Energy Conversion, IEEE Transactions on