DocumentCode
1161512
Title
Evaluation Methods and Accuracy in Probabilistic Load Flow Solutions
Author
Allan, R.N. ; Da Silva, A. M Leite ; Burchett, R.C.
Author_Institution
University of Manchester Institute of Science and Technology
Issue
5
fYear
1981
fDate
5/1/1981 12:00:00 AM
Firstpage
2539
Lastpage
2546
Abstract
This paper presents a new method for obtaining a probabilistic load flow solution using a discrete frequency domain convolution technique. It is shown that this method has greater accuracy while providing a breakthrough in computational speed. A detailed example compares the numerical results with a Monte Carlo simulation. The effects of nonlinearity in the network equations are discussed.
Keywords
Computational efficiency; Convolution; Density functional theory; Load flow; Nonlinear equations; Power system analysis computing; Random variables; Senior members; Steady-state; Uncertainty;
fLanguage
English
Journal_Title
Power Apparatus and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9510
Type
jour
DOI
10.1109/TPAS.1981.316721
Filename
4110901
Link To Document