Conference
Automatic Contingency Grouping Using Partial Least Squares and Feed Forward Neural Network Technologies Applied 10 the Static Security Assessment Problem
Abstract
The paper shows how a number of Feed Forward Back Propagation Neural Networks can be trained to predict power system bus voltages after a contingency. The approach is designed to use very few learning examples thus being suitable for on-line use. The method was applied to the 10-machine 39-bus New England Power System model.
Authors
Fischer D; Szabados B; Poehlman S
Pagination
pp. 84-89
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 2003
DOI
10.1109/lescpe.2003.1204684
Name of conference
Large Engineering Systems Conference on Power Engineering, 2003